Questions About AI Consulting, Answered Directly.

If your core processes are defined, your staff follows them consistently, and you can describe where the delays and coordination gaps occur, you have enough to start a conversation. Readiness is not about having perfect data or a fully modernized technology stack. It is about having a real process problem that AI can address.

Tayana offers six services: AI Readiness and Strategy, AI Agent Development, Intelligent Automation, Private AI Deployment, Knowledge Intelligence, and AI Enablement Training. Each addresses a distinct stage of the AI journey, from initial assessment through full deployment. Services are selected based on your situation, not delivered as a fixed package.

No. AI agents are built to operate on top of your existing systems, not alongside a replacement. The agent reads from your ERP, CRM, or operational platform, processes information, and takes action without touching your underlying architecture.

A typical pilot runs 6 to 8 weeks from the start of the engagement to a working agent operating in your environment on real data. The timeline depends on the complexity of the process and the accessibility of the data sources involved.

Training is delivered for two audiences: the staff who interact with the agent day to day, and the administrators or operations managers who configure and monitor it. Delivery format is live sessions with supporting documentation, adapted to your team size and schedule. Training is treated as part of the implementation, not a separate engagement after go-live.

Voice agents make and receive phone calls using natural language processing. They conduct structured conversations, ask clarifying questions, document outcomes automatically, and escalate to human staff when the situation requires it. Voice agents are built to sound professional and to move a conversation toward resolution without rigid scripts.

A typical pilot investment starts from $10,000 and scales with process complexity, integration requirements, and the scope of the assessment phase. The range is wide because two processes that look similar on the surface can vary significantly in data accessibility and decision logic. Pricing is confirmed after the discovery phase, not before.

Access is limited to the Tayana team members assigned to your engagement. Your data is used only for configuration, testing, and validation of the specific agent being built. We do not share client data with third parties or use it to train general-purpose models.

Results vary by process, data quality, and implementation scope. In comparable deployments, clients see staff time on exception handling reduced by 60 to 70 percent, with resolution timelines improving by 40 to 50 percent for routine cases. Realistic expectations are established during discovery based on your current process and volume. Figures shown are representative of outcomes in comparable implementations.

A standard engagement involves a Master Service Agreement covering overall terms, and a Statement of Work defining the specific scope, timeline, deliverables, and pricing for your project. Ongoing support after deployment is covered under a separate support agreement. All templates are provided during the proposal stage for your review before you commit.

No. The agents Tayana builds are designed to take over the coordination and documentation work that consumes staff time without requiring judgment, accountability, or relationship context. These are the follow-ups, status checks, data routing tasks, and communication repetitions that capable people spend hours on each day without applying their actual expertise. Staff responsible for those processes remain responsible for decisions, approvals, escalated cases, and outcomes.

Yes. Tayana works with ERP resellers, systems integrators, and implementation partners to provide AI agent capabilities to their clients. Partnership models include referral arrangements and joint delivery on complex engagements. Contact us to discuss what model fits your situation.

No. Results depend on your process complexity, data quality, staff adoption, and variables outside our control. What we commit to is setting clear success criteria before the engagement begins, transparent reporting throughout, and an honest assessment if the approach is not working as expected.

Contact us through the website to request a first call. We respond within one business day and schedule at your convenience. The first call covers your process, your systems, and an honest fit assessment, and if the fit looks right, we follow with a scoped proposal for your review.

Prepare a description of the process you want to address, the volume of exceptions or tasks involved on a weekly or monthly basis, the staff time currently consumed, and the business impact of delays or inconsistencies. If you know your current technology stack, including your ERP, CRM, or other operational platforms, have that available. You do not need a formal brief. A working description of the problem is enough.

Both, depending on the process. Off-the-shelf AI tools solve generic problems well. Most enterprise processes involve exception handling, system coordination, and decision logic that generic tools do not address, and in those cases we build agents specific to your workflows and your data.

Agents can connect to any system with an available API or data export, including ERPs, CRMs, accounting platforms, inventory systems, customer communication tools, and proprietary databases. The integration scope is confirmed during discovery and assessment before any build begins.

The assessment and discovery phase requires 2 to 4 hours from the staff who handle the process being automated, typically spread across 1 to 2 weeks. Build and testing phases require less ongoing involvement but do require sign-off at defined checkpoints. Engagements are structured to minimize disruption to daily operations.

User training for day-to-day staff typically runs 2 to 3 hours and can be split across multiple sessions. Administrator training, which covers configuration, threshold adjustments, and monitoring, runs 4 to 6 hours including hands-on practice. Refresher sessions are available as your team grows or your process evolves.

Yes. Agents identify appropriately at the start of each call. If asked directly whether they are speaking with a person or an automated system, agents acknowledge that accurately. In practice, most customers and vendors focus on getting their issue resolved. Professional handling and clear communication matter more to them than whether the voice is human or automated.

Implementation fees cover discovery and process documentation, agent development and configuration, integration with your existing systems, communication template creation, testing and validation, initial training, pilot deployment support, and documentation. Third-party platform subscriptions and your team's time are separate and are disclosed during project planning.

Your operational data remains in your existing systems throughout the engagement. Data processed by the agent during operation passes through the third-party platforms configured for your deployment, and those platforms store data per their own published retention policies. Tayana does not maintain long-term copies of your operational data.

We define success metrics before the pilot begins, not after. Primary metrics include exception resolution time, escalation rate, and staff hours recovered. Secondary metrics vary by process and may include error rate reduction, documentation completeness, and process throughput. You own these baselines and we report against them throughout the engagement.

Subject to full payment of all fees, you receive a perpetual, non-exclusive license to use the agent code and configurations built for your engagement for your internal business purposes. Tayana retains ownership of the methodologies, frameworks, and reusable components used to create the solution. Your specific business data, process logic, and rules remain confidential and are not reused for other clients.

Roles do not disappear. They become more focused. Staff who previously spent the majority of their time on coordination tasks shift toward higher-value work: resolving disputes that require judgment, managing vendor and customer relationships, identifying process improvements, and handling the cases the agent appropriately escalates. In practice, teams typically welcome the change once they see the agent operating.

Yes. If you have an existing ERP or systems implementation partner, we prefer to work alongside them. They understand your system configuration and can assist with API access, integration planning, and testing coordination. We treat their system-specific knowledge as an asset to the engagement, not a complication.

Agents handle high-volume, rule-based coordination well. They do not handle situations requiring deep human judgment, emotional context, complex negotiation, or decisions where the rules are genuinely undefined. In well-designed deployments, agents resolve 60 to 80 percent of exceptions automatically and escalate 20 to 40 percent to human staff. That is the realistic operating range, and it is where the value sits for most clients.

We acknowledge your inquiry within one business day and schedule the discovery call at your convenience. After the call, you receive either a scoped proposal if the fit is good or a direct explanation of why we do not think it is the right engagement. There is no grey area in between.

The initial call runs 30 minutes and focuses on fit, not detail. If the fit looks good, we conduct deeper process mapping over 1 to 2 weeks, involving the staff who handle the exceptions or tasks being automated. That phase requires 2 to 4 hours of your team's time and produces the detail needed for a scoped proposal.

Tayana works with any business that has defined operational processes and established systems, regardless of size or industry. The only filter is whether the process problem is real, the data is accessible, and the internal stakeholders are ready to engage.

Yes. Many clients run ERP or CRM implementations with custom fields, objects, or modified workflows. As long as your system's standard APIs function and custom fields are accessible via API, agents can be built to work within your customized environment. Additional discovery time may be needed to understand the specifics of your configuration.

Not necessarily. Tayana handles agent development and integration. Your IT team's involvement is typically limited to providing API access credentials, reviewing the integration approach, and coordinating any system configuration requirements. If your IT team wants deeper involvement, that is welcome. If you prefer to keep their engagement minimal, that is also workable.

Support covers technical troubleshooting, minor rule adjustments as your process evolves, and integration updates if your underlying systems change. Support terms, response times, and pricing are defined in the service agreement before the project begins, not after.

Agents recognize escalation triggers, including elevated tone, abusive language, and explicit requests to speak with a person. When these triggers occur, the agent transfers immediately to a human staff member with complete context: who called, what was discussed, and what the issue is. No customer or vendor is required to interact with an automated system if they prefer a person.

Engagements are priced per project, not by the hour. Each proposal includes a fixed scope, defined deliverables, and a payment schedule tied to milestones. Ongoing support after deployment is scoped and priced separately.

Yes. For clients with strict data residency or security requirements, agents can be deployed inside your private cloud or on-premises infrastructure. Private AI Deployment is one of Tayana's six service offerings and is scoped based on your environment and compliance requirements.

We work with you to identify and address performance issues throughout the engagement. If pilot results indicate a fundamental problem with the approach, we conduct a root cause review before recommending a path forward. What we commit to is transparent reporting, honest assessment, and continued refinement for as long as the engagement is active.

Our total liability for any claim is limited to fees paid in the three months immediately preceding the claim. We are not liable for indirect, consequential, or incidental damages, including lost revenue or business interruption. You are responsible for maintaining appropriate data backups and human oversight of agent decisions, particularly for processes where errors carry significant financial or operational consequences.

Start with the current cost of the process: staff time multiplied by loaded rate, multiplied by annual volume, plus the business impact of delays or errors in that process. Set that against the pilot investment range and the 6 to 12 month ROI timeline for comparable deployments. Tayana can support your internal business case with anonymized outcome data from comparable implementations and, if useful, present directly to your leadership team during evaluation.

We recommend waiting until your core system implementation stabilizes before beginning an AI agent project. Agent design requires understanding stable, defined processes, and your team's attention during a live system implementation is appropriately focused on adoption. Once your system is live and stable, typically 3 to 6 months post go-live, the conditions for an AI engagement are much more favorable.

All agent decisions are logged, and agents are built to escalate when they encounter situations they cannot resolve confidently rather than guess. For errors that do occur, we conduct a root cause review and adjust the underlying logic. Human oversight is appropriate for any agent operating on consequential decisions, particularly in the early weeks of deployment.

We do not offer generic product demos because every implementation is custom. The discovery call covers your specific process and how an agent would function in your environment. If you want to interact with a live agent before that conversation, the Try AI Agents section of this site is the right starting point.

No. Most clients come in knowing they have operational bottlenecks but unsure which ones are the right candidates for AI. The first call is a fit assessment, not a sales pitch. We will tell you directly if your situation is not a match.

AI Foundation Training puts AI concepts and practical possibilities in front of the people who actually run the processes, before any solution is proposed. This surfaces real use cases from inside your organization, creates demand from the people who will use the system, and removes the adoption risk that causes most AI projects to fail after deployment.

Yes. The Try AI Agents section of this site hosts live agents you can interact with directly. The AR Collections Agent is available now, with additional agents being added. Each agent page explains what it does, what inputs it requires, and what outcomes it produces.

Yes. Most implementations are completed remotely through video conferencing, shared documentation, and collaborative testing. On-site work is available if you prefer it, but is not typically required. Tayana has completed implementations across the United States and Canada without in-person visits.

Issues are categorized by severity. Critical issues, where the agent is not functioning or is producing incorrect decisions at scale, receive immediate response. Non-critical issues are prioritized and scheduled with updates provided throughout resolution. Root cause documentation is standard practice so recurring issues are addressed at the source.

Yes, completely. You define the greeting language, the explanation scripts for different scenarios, the tone and formality level, what information the agent shares or withholds, and the escalation language used when transferring to a human. Communication templates are fully configurable and can be updated at any time.

Standard engagements are invoiced on a milestone basis aligned to project phases. Payment is due upon invoice. Net terms may be available for established clients. The specific billing structure is confirmed in the Statement of Work before the project begins.

Tayana configures agents following security best practices and can support your compliance requirements through implementation design. We do not make blanket compliance claims because your regulatory obligations depend on your industry, the data involved, and how the agent is deployed. If you operate in a regulated industry, raise your compliance requirements during the first call so they are addressed in the implementation plan from the start.

We maintain client confidentiality and do not share case studies without explicit client permission. We can provide anonymized outcome ranges from comparable implementations and, for clients who want a direct reference conversation, we can sometimes facilitate an introduction from clients who have agreed to participate. Book a call to ask what is available for your process type.

Tayana does not provide uptime or performance guarantees for third-party AI or workflow platforms. Service levels for those platforms, where they exist, are governed by the platform providers' own terms. Our commitments cover the consulting and development work we perform, not the runtime availability of third-party infrastructure.

Expansion is common and typically faster than the initial engagement. Existing infrastructure, integrations, and established working relationships reduce the ramp-up for a second or third agent significantly. The process follows the same discovery and scoping approach, and expansion pricing reflects the reduced setup overhead.

Support contact details, including email, phone, and portal access where applicable, are provided in your service agreement at the start of the engagement. Response time commitments are defined in that agreement based on the support tier selected. The escalation path for urgent issues is established before go-live so your team knows exactly how to reach us.

There is no pressure to move forward on any particular timeline. We can answer questions as they arise, provide relevant materials, and reconnect when your timing and budget align. Our interest is in finding situations where we can deliver measurable improvement, not in forcing engagements before the conditions are right.

Yes. Voice-capable agents are part of Tayana's agent development practice, suited for processes involving outbound customer or vendor communication such as collections follow-up, order status, and supplier coordination. Voice implementation requires additional scoping during discovery to confirm compatibility with your communication environment.

Yes. AI agents can run around the clock if that is appropriate for your process. Outbound communication to customers and vendors should be scheduled within hours you define as acceptable, but internal data processing and alerts can run at any time. You control the agent's operating schedule based on your business requirements.

Agents integrate through standard API patterns that remain stable across most system updates. Minor version changes typically do not affect agent operation. Major system changes or platform replacements may require an integration review, which is covered under ongoing support agreements.

You can adjust decision thresholds, update communication templates, and manage escalation rules within the parameters defined during implementation. Changes to integration logic, core decision architecture, or significant workflow restructuring require Tayana's involvement. The goal is for your operations team to own the agent's day-to-day behavior without depending on us for routine adjustments.

Agents access only the customer data necessary for the specific function they are performing, governed by the same permissions model your staff uses within your systems. All interactions are logged for compliance review. Sensitive accounts can be excluded from agent handling entirely if required.

Tayana does not offer internal financing. Milestone-based billing structures the investment across the project timeline rather than requiring full payment upfront, which most clients find manageable. If your organization requires an alternative payment arrangement, discuss this during the proposal stage.

No. Your data is used only to configure, test, and validate the agent built for your engagement. We do not use client data to train general-purpose AI models, share it with third-party AI providers for training purposes, or aggregate it across clients for model improvement. The AI platforms we work with are configured under enterprise terms that exclude client data from training.

Yes. Agreement templates are provided during the proposal stage, before you commit to anything. You can review them with your legal counsel and request modifications. We consider reasonable requests. We want you to be comfortable with the terms before work begins.

Depending on your situation, alternatives might include native ERP or CRM workflow automation, traditional custom development for stable and highly specific requirements, staff augmentation, or process redesign to reduce the exception volume rather than automate its handling. We will tell you directly if one of these is a better fit. That conversation happens during the first call, not after you have committed.

Yes. Both documents are available on this site. The Terms of Use govern website use and the terms under which services are offered. The Privacy Policy describes how we handle information you provide during the engagement process. Links to both documents are in the site footer.

We spend 30 minutes understanding your current processes, the systems you run, and where staff time is being consumed by coordination work. At the end of the call, you get an honest assessment of whether AI is the right tool and what a realistic pilot would look like. There is no obligation to proceed.

Yes. Agents scale to handle increased volume without degradation in processing time or decision quality. If your business anticipates a significant seasonal surge, that should be flagged during implementation so infrastructure capacity is planned accordingly. High-volume periods are among the stronger cases for agent deployment, because the workload increase that strains human teams does not affect agent performance.

We set measurable success criteria before the pilot begins, not after. If the pilot does not meet those criteria, we conduct a structured review to identify whether the issue is in the process definition, the data, or the agent logic. We do not move to full deployment until the pilot validates the outcome.

You retain full access to the agent code and configurations deployed in your environment. Upon termination, Tayana's obligations cease per the notice period in your contract, typically 30 to 60 days. You may continue operating the agent independently, modify it, or decommission it, and all client data used during the engagement is returned or deleted per the terms agreed at the start.

No. Dispute recognition is a built-in escalation trigger. When an agent detects language indicating a billing dispute, quality complaint, service failure, or relationship concern, it escalates immediately to the appropriate human staff member. These situations require human judgment and relationship context that no agent should substitute.

Fees paid for work completed are not refundable. If you terminate an engagement, Tayana's obligations cease per the notice period in the service agreement, and all work completed through the final billing period is delivered to you. You are not charged for work not yet performed. Termination terms are defined in writing before the project begins.

We accommodate reasonable security inquiries within the scope of our consulting practice, including completing security questionnaires and providing documentation of our integration and configuration practices. We do not hold SOC 2 certifications or operate infrastructure subject to formal penetration testing, as Tayana is a consulting practice rather than a platform provider. For audits of the underlying AI or workflow platforms, those assessments should be directed to the respective platform providers.

Our preference is direct resolution through professional conversation. If that does not resolve the issue, mediation is the next step before any formal legal proceeding. Governing law and dispute resolution terms are specified in the Master Service Agreement and are provided for your review before the engagement begins.

Yes, and that is the recommended starting point. A typical pilot focuses on one process, runs for 6 to 8 weeks, and operates on real data inside your existing systems. The pilot validates the value before any larger investment is made.

Rule changes are expected and accommodated. Threshold adjustments and communication template updates are typically within your control as an administrator. More significant changes to decision logic or escalation structure are handled under your support agreement or quoted as a minor enhancement. Agents are designed to evolve with your process, not lock you into the rules defined at launch.

A successful pilot produces a working agent, a documented process, and a baseline of outcome data. From there, the decision to scale is yours. Options include expanding the agent to additional data sources, deploying a second agent on a different process, or holding at pilot scale while the organization absorbs the change.

Capacity depends on average call duration, conversation complexity, and your operating hours. A typical voice agent setup handles 40 to 60 calls per day per agent instance. For higher volumes, multiple instances can be deployed. Anticipated volume and peak periods are factored into the infrastructure plan during scoping.

Yes. AI agents rely on third-party platforms for processing, workflow orchestration, and in some cases voice communication. These platform costs are separate from Tayana's fees and paid directly by you to the respective providers. Typical monthly platform costs range from $100 to $1,000 depending on call volume, data throughput, and workflow complexity.

All client data used during the engagement is returned or deleted according to the terms agreed in the service contract. Data in third-party platforms follows those platforms' published retention policies, and you retain direct access and control over those platform accounts. Data retention and deletion schedules are confirmed in writing before any implementation begins.

When an agent encounters a situation outside its defined rules or encounters ambiguous data, it creates an escalation record, notifies the appropriate staff member with complete context, and waits for human resolution. It does not guess or proceed. Escalation is a designed behavior, not a failure state.

Agents support multiple communication channels. You define channel preference by customer segment so customers designated for email receive email and customers designated for voice receive calls. Channel strategy is defined during implementation based on your customer base and process requirements.

For most pilot deployments, measurable return appears within 6 to 12 months of the agent going into production. Staff time recovered, error rates reduced, and process throughput improved are the most common metrics used. We establish these baselines at the start of the engagement so the comparison is grounded in real numbers, not estimates.

Standard reporting includes exception volume trends, agent decision breakdowns, resolution time metrics, and escalation reasons, along with pattern identification that surfaces recurring issues pointing to upstream process problems. Custom reporting aligned to your specific KPIs is scoped during implementation.