Tayana Solutions provides AI consulting services that build AI agents and automation on top of the systems your operation already runs. The team carries 30 years of combined experience across ERP implementations, workflow design, and operational exception handling. That background points to a consistent conclusion: most operations do not have a technology problem. They have a coordination problem, and that is the problem AI is positioned to close.
Your ERP processes what matches and stops at everything else. Your CRM holds the data your sales team needs, but it does not connect to your billing system without someone pulling a report. The gap is not inside any single system. It is between them.
Tayana's AI consulting services address that specific gap. Agents and automations connect to what you already run, apply your business rules, and handle the coordination work that currently falls to your people.
The pattern across operations functions is consistent. A process is defined. The rules that govern it are understood by the team. The data it relies on already exists in the ERP or operational platform. And yet a qualified person spends hours each week executing that process manually, because nothing in the current technology stack handles the handoff between steps.
AI agents do not create new data or new systems. They read the data that already exists, apply the rules that already govern the process, and complete the coordination steps that currently require a person to execute.
The approach behind Tayana's AI implementation consulting is to work inside the technology stack already in place. Agents connect to your ERP, CRM, or operational platform through standard API access and operate according to rules your team defines before a single line of code is written.
An agent that connects to those platforms closes the gap without requiring you to migrate, replace, or modify the systems your operation depends on. The result across more than 100 client engagements is that the processes generating the most staff time losses are almost always ones where the data already exists in the current environment. The gap is connection, not data.
When you have not yet identified which processes are realistic candidates for enterprise AI, AI Readiness and Strategy provides that clarity. The engagement maps your systems, data availability, and process maturity, then produces a prioritized list of pilot opportunities.
When you have identified the process, AI Agent Development builds the custom agent. The agent operates within your existing systems, handles the repeatable logic, escalates exceptions with context attached, and logs every action to your system of record.
When coordination work spans more than one system and involves variable inputs, Intelligent Automation handles the handoffs between platforms.
When your data cannot leave your environment, Private AI Deployment installs AI models on your own infrastructure or private cloud. Prompts and outputs remain inside your perimeter throughout.
When staff lose time searching for answers in your document library, Knowledge Intelligence makes those documents queryable through a plain-language interface.
Before any solution is proposed, the AI Adoption Accelerator runs with your staff by department. Projects that follow this path succeed because the people whose work is affected already want the outcome before any build begins.
A Tayana engagement begins with a 30-minute call to assess fit. If the situation is not suited to AI agents or automation, that conclusion is stated directly before any further investment is made.
Every engagement is pilot-first. One process, one agent, running on your actual systems with your actual data. You measure the result before committing to anything beyond that scope.
After an AI collections agent is connected to the ERP, routine call time drops to 4 to 6 hours per week from 15 to 20 hours. Full portfolio coverage replaces selective outreach. The coordinator shifts attention to escalations and disputes rather than repeating the same calls across accounts of every size.
Identify one process where your team applies the same rule set to the same type of incoming data every day. Check whether the data already exists in one of your current systems. If it does, the infrastructure question for a pilot is answered before any work begins.
The coordination problem is real, measurable, and present in most operational environments. A 30-minute conversation is enough to determine whether a pilot makes sense for your operation. Book a call at tayanasolutions.com.
No. Every agent and automation Tayana deploys connects to the systems you already run through standard API access. Your ERP, CRM, and operational platforms remain unchanged.
Processes that repeat daily, follow a defined rule set, and rely on data already in your current systems are the clearest candidates. Accounts receivable collections, order entry from email attachments, and invoice matching follow that pattern consistently.
From the first engagement to a working agent in production typically takes six to eight weeks, assuming the process is defined and the data is accessible.
We work with companies that have defined processes and existing systems. Book a 30-minute call to assess fit and get clear next steps.
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