Your best answers live in contracts, policies, product documents, and the heads of a few senior people. Phos AI Labs is the AI department for $5M+ companies that builds the chatbot that answers from those sources, shows where each answer came from, and hands off to a person when it should. As an Anthropic Partner and OpenAI Select Partner with a CCA-F certified team, we pick the right model and architecture for the job.
Chatbot consulting is the work of scoping, building, and running an AI chatbot that answers from your own knowledge: choosing the right architecture, grounding every answer in your documents, and connecting it to your CRM, help desk, and human handoff. Here is what most firms miss. A chatbot is only as good as the knowledge it reads and the handoff it makes.
Anthropic Partner and OpenAI Select Partner, CCA-F certified team
40+ AI systems
shipped to production in the last 6 months
6–8 weeks
to a working chatbot in production
Trusted across 450+ builds
The demo works because someone picked twelve friendly questions. Production brings the rest: odd phrasing, an outdated policy, and a question your documents answer in two places with two different answers.
Out of the box, the model has never seen your policies, pricing, or product documents. It sounds confident and gets specifics wrong, so nobody trusts it with a customer.
With no source shown, a support lead cannot check a response and compliance cannot approve it. One wrong answer and the whole chatbot loses its standing.
When the chatbot gets stuck, the customer starts over with a person and repeats everything. The conversation history never travels with them.
It cannot look up an order, log a lead, or open a ticket, because nobody connected it to the systems where the work happens.
Picking the model takes a day. Making the answers trustworthy takes the rest of the work.
Phos AI Labs builds the chatbot, the knowledge base behind it, the connections to your systems, and the tests that prove it works. Six deliverables, each a named artifact your team keeps.
Which of the four chatbot types fits your problem (scripted, LLM-powered, retrieval-grounded, or agentic), with the reasoning written down.
Your policies, product documents, contracts, and wikis cleaned, structured, and indexed so the chatbot finds the right passage.
Every answer pulled from your sources at question time and shown with where it came from.
Connections to your CRM, help desk, and calendar, plus escalation rules that pass the full conversation to a person.
Test questions drawn from your real tickets that measure accuracy, deflection, and escalation before launch and after every change.
Rules for what the chatbot may say and do, with every decision documented in plain language and owned by your team.
This builds the chatbot and everything it stands on. Company-wide assistants and AI employees that run whole roles are separate engagements, and a chatbot is often the first step toward them.
Three steps, six to eight weeks to a chatbot in production. Nothing moves to the next step until the one before it proves itself.
We pin down the real problem (deflection, knowledge access, conversion, or automation), choose the chatbot type, and collect the documents and questions it has to handle.
The knowledge base, retrieval, integrations, and handoff, built from your real documents and tested against your real questions.
We release to a limited audience, measure accuracy and handoff quality, then widen. Phos AI Labs stays embedded and retunes as your content and customers change.
A chatbot rarely stands alone. The model behind it, the rules around it, and the wider generative program all sit next to it.
As an Anthropic partner, a real rollout: CLAUDE.md, MCP, and permissions set up so Claude works across the whole company.
Products and internal systems built on OpenAI's models through the API: the right model for each job across text, voice, and images, wired into your own data.
Rules sized for a lean team, so adoption sticks and everyone uses AI the same way instead of five different ways.
Same build, different knowledge and different risk. A professional services firm answers from engagement templates, a healthcare-adjacent business from policy with human review, a distributor from catalogs and order data. The sources, the tone, and the handoff rules follow what your industry handles.
If customers, prospects, or employees keep asking questions your documents already answer, a chatbot has a place in your operation.
Book a callThree shifts: questions answered at any hour, answers your team can check, and a conversation that leads somewhere.
Customers and employees get a grounded answer in seconds, and your senior people stop answering the same ten questions.
Every response shows its source, so a support lead can audit it and a wrong answer points straight at the document to fix.
The chatbot captures the lead, logs the ticket, or hands the full history to a person, so no conversation ends in a dead end.
HRM Mexico
The results from our increase in lead generation are outstanding. This is the perfect example of the importance of moving forward with an AI strategy. We feel very fortunate to have chosen Phos AI Labs as our partner. It has been a positive game changer for us.
Franklin Delano Frith II, Owner, HRM
Career Haven
The goal is to show that we are drawing knowledge from experts all the time. It's not just what the AI is making up.
Ogo Ekwueme, Founder, Career Haven
Read the full story → A chatbot vendor sells the one type it built. Phos AI Labs starts from your problem and picks scripted, LLM-powered, retrieval-grounded, or agentic, and tells you when a scripted bot is enough.
The HRM agent cannot answer without a retrieval call, and every answer traces to a source. We build that discipline into every chatbot where accuracy matters.
A senior AI engineer costs $250K or more and takes about six months to find and ramp. Phos AI Labs brings a team that has shipped production chatbots and stays embedded after launch.
Chatbot consulting with Phos AI Labs starts at $10,000 per month, scoped to the knowledge sources, integrations, and channels in play. Every engagement covers the architecture, knowledge base, retrieval, integrations, evaluation, and documentation under a single monthly fee.
Focused chatbot build
One chatbot built on your knowledge, connected to your systems, tested against your real questions, and shipped to production.
Book a strategy callEmbedded AI Team
Your full AI team on retainer: building, connecting, evaluating, and retuning chatbots and the systems around them as your business changes.
Talk through scopeThe cost is often already on your books. Hours your senior people spend answering the same questions, plus the help desk and chat tools a chatbot half-replaces, add up to close to what one grounded chatbot costs. Part of the build is finding that spend and pointing it at a system that answers for you.
Ten questions and a personalized score in minutes.
Explore →The four chatbot types and what to ask before you hire any firm.
Explore →How to tell which one your problem needs.
Explore →Real engagements with real numbers.
Explore →In partnership with
