Your systems are not the problem. The coordination work that falls between them is. Tayana provides AI consulting services and builds AI agents that close that gap, without touching what already runs.
Your systems work. The problem is what happens between them.
Manual matching. Exceptions in inboxes. Reports that take a day because three systems do not talk to each other. That is not a technology failure. It is a coordination gap, and it is where staff time goes every week.
AI implementation closes that gap. It works alongside your existing platforms, not against them.
This is for you if your processes are defined, your systems are in place, and you are ready to pilot before committing to a full deployment.
Flexible AI consulting services. Each one addresses a different stage of the AI journey, from readiness assessment to full implementation.
AI Adoption Accelerator program
Most AI projects fail because users were never involved. We run training before any solution is proposed so your people want it before it is built.
You know AI matters but you do not know where it fits. We assess your systems and give you a prioritized roadmap built around your actual numbers.
You know which process is costing the most staff time. We build a custom AI agent for it, connected to your existing systems.
Someone on your team copies data between systems every single day. We build the workflow that handles that handoff automatically.
Your data cannot leave your environment. We deploy AI models on private infrastructure or sovereign cloud.
Your documentation is there but nobody can find the right answer fast. We build a system that returns accurate answers from your own documents in seconds.
Tayana runs the AI Adoption Accelerator before any solution is proposed. We put AI possibilities in front of the people who do the actual work. They identify where AI would help their specific role and build the internal case for it themselves.
When implementation begins, your staff already understand what is coming and why. Projects succeed because the people inside them wanted it first.
The most credible reference we can give you is a direct conversation with a client. Book a call and we will make that introduction.
Book a Call →AI deployment looks different in every sector. The coordination gaps, the regulatory context, and the systems involved are specific to each industry. So is the work we do.
Resolving order exceptions, pricing discrepancies, and fulfillment gaps across sales channels.
LIVEReducing manual work across subcontractor coordination, project billing, and compliance documentation.
LIVEAutomating transaction reconciliation, compliance reporting, and client onboarding workflows.
LIVEHandling back orders, shipment exceptions, and warehouse coordination without manual intervention.
LIVEClosing the gap between production exceptions, quality issues, and supplier response times.
LIVEAutomating claims triage, policy exceptions, and underwriting coordination workflows.
LIVECutting the manual work out of clinical documentation, prior authorizations, and patient follow-up.
LIVEReducing manual coordination across care, billing, and staffing in multi-community operations.
Click here for more industries. Do not see your industry listed? Most coordination problems cross sector lines. Book a call and we will tell you within the first conversation whether we are a fit.
No long sales process. No proposal before we understand your situation. Start with a conversation and we will tell you which path makes sense for your organization.
Thirty minutes. You talk, we listen. By the end of the call we will tell you honestly whether AI makes sense for your situation and which path fits. Most clients tell us it is the most useful first conversation they have had about AI.
Your team has heard about AI but nobody has had time to figure out what it means for their actual job. Training changes that. People leave with specific ideas, not a general sense that AI is coming.
You know roughly where the problem is but want someone to pressure test it first. Five days on site. You get a written report telling you exactly what to build first and why.
You have already done the thinking. You know the process, the volume, and what a working outcome looks like. We scope it in the first call, confirm the integration points, and start building within two weeks.
One process. One agent or automation workflow. Built and deployed inside your actual environment using your real data, connected to your real systems. You will know within the first few weeks whether it is working. No theoretical results. No staging environment demos.
If the pilot does not perform, you are not committed to anything further. We would rather show you something that works than sell you something that does not.
Yes. Every solution Tayana builds sits on top of your existing systems. We connect to what you already run via API and work within the processes you have already defined. Nothing is replaced.
Our AI consulting services start with the AI Adoption Accelerator for exactly this situation. We put AI possibilities in front of your team and let them identify where it would actually help them. Most clients leave training with three to five specific use cases they want to pursue.
From first call to pilot in production is typically 6 to 8 weeks. The path you take through Step 2 determines the starting point but the pilot timeline is consistent across all three paths.
Most pilots fall between $10,000 and $50,000. The range depends on the complexity of the process, the number of systems involved, and the volume of exceptions the agent needs to handle. We give you a fixed scope and a fixed price before any work begins.
We will tell you before you do. Part of our job during a pilot is to read the signals early and flag when something is not tracking the way it should. If the pilot does not justify moving forward, we say so directly and we stop there. We have walked away from follow-on work before. A client who trusts us after a failed pilot is more valuable to us than a contract we should not have taken.
We work across any industry where there are defined processes, established systems, and coordination gaps consuming staff time. Senior care, healthcare, insurance, manufacturing, distribution, financial services, construction, and B2B eCommerce are sectors we know well. If your industry is not listed, book a call and we will tell you within the first conversation whether we are a fit.
Less than most people expect, but more than zero. You need one person who knows the process well enough to answer detailed questions and flag when something we are building does not match how things actually work on the ground. For training we need the people who do the job, not the people who manage it. An hour of their time up front saves weeks of rework later.
Two reasons, almost every time. The people who were supposed to use the tool were never involved in designing it, so they found ways around it the day it launched. Or the process that was automated turned out to be different in practice from how it looked on paper, and the agent broke on edge cases nobody had documented. We start with training because it solves the first problem. We do an assessment because it solves the second. That sequence is not a formality. It exists because we have seen what happens when you skip it.
We are not tied to any single model or platform. Depending on your requirements, data privacy constraints, and existing infrastructure, we deploy across all major LLMs, including OpenAI, Anthropic Claude, Google Gemini, Meta LLaMA, Mistral, DeepSeek, and Cohere, and build automation workflows on n8n, Make.com, Zapier, LangChain, LlamaIndex, Hugging Face, Ollama, OpenClaw, and Microsoft Power Automate. The right stack is determined by your use case, not by our vendor preference.