From the service wall
scope, price, finish line
Support, ops, and knowledge agents that actually know your business.
The roster
sound familiar?
Ticket volume keeps climbing and most of the answers already live in your help center. You want faster first response without the experience feeling like a machine wrote it.
Your queue is a routing desk: access requests, status checks, where-things-live questions. You want the routine handled and the exceptions escalated to a person with context.
Policy sits in one system, process in another, and the real answers sit in a few veteran heads. You want employees to ask one place and get a sourced, current answer.
The finish line
what you keep
Proof
measured, not claimed
A real AI Agents & Assistants engagement, led by the number that moved. We publish nothing we didn’t measure.
$2.5M
Revenue recovered
Telecom
A telecom company had years of past projects sitting dormant: real revenue nobody had time to chase. We built a backlog-builder agent to work the list and reopen the right conversations. It recovered $2.5 million in dormant revenue.
Job ticket
specifics, in writing
Job ticket
The build
guardrails included
Answers the questions your help center already answers, drafts replies for the trickier ones, and routes anything involving an exception, a refund, or a frustrated human straight to your team. First response gets faster; your people keep the judgment calls.
Handles the internal routine: access requests, status checks, form filling, routing to the right owner. The moment a request needs approval or judgment, it stops and asks a person.
Answers from your documentation, policies, and past decisions, and cites the source every time. When sources conflict or run out, it says so and points to the owner instead of guessing.
Every agent ships with scoped access, a defined human handoff, and an audit trail of what it did and why. Guardrails come before autonomy: wider scope is earned in the logs, not promised in the pitch.
Packages
no mystery pricing
One agent, one job, scoped narrow enough to ship, pilot, and judge honestly.
An agent and the automation that feeds it, built as one system with one handover.
A sequence of agents across teams, shipped under shared guardrails, shared governance, and one roadmap.
Numbers on the first call. No discovery-call maze.
After we ship
we answer the phone
Shipping is the midpoint, not the finish line. Every agent leaves with documentation, an escalation runbook, and a supervised period where we watch the logs with you and tune what we find. After that comes async support and a direct line to the person who built it, not a ticket queue.
Most agent projects die of ambition. Too much autonomy on day one, pointed at a job nobody wrote down, judged by a demo instead of a log. We build in the opposite order: one job with a known source of truth, the narrowest access that lets the agent do it, and real requests with a person checking the work until the log says it’s ready for more.
An agent that actually knows your business is a grounding problem before it is a model problem. So the build starts in your help center, your policies, your past tickets, and the folder nobody admits is the real source of truth. We do that unglamorous work first, wire the agent to cite where every answer came from, and teach it the most useful sentence in the building: that one isn’t mine, here’s the person who owns it.
Guardrails are not the boring part of the project. They are the project. Scoped permissions your security team reviews before anything touches production, a named human on the receiving end of every handoff, and an audit trail a person can read without a decoder ring. When the logs show the agent behaving, we widen its scope one notch at a time. That’s how you end up with an agent your team trusts instead of one they quietly route around.
And sometimes the honest recommendation is no agent at all. A surprising number of agent requests are really workflows with a fancier name: deterministic, cheaper, finished sooner. We’ll tell you which one you’re holding on the first call, because the goal was never to sell you an agent. It’s to hand your team a tool they still use after we leave.
FAQ
asked at the counter
A chatbot follows a script. An agent can read your documentation, take defined actions in your systems, and recognize when a request is beyond it. We treat that last skill as the most important one.
One job with clear inputs, a known source of truth, and an obvious handoff. First-response support, internal IT and ops questions, and policy lookup are common starting points. If a simpler workflow would do the job, we’ll say so and build that instead.
It admits it, then hands the request to a named person with the context attached, so nobody starts over. An agent that guesses is a liability. Refusing gracefully is a feature we build on purpose.
No, and we won’t build toward that. The agent takes the repetitive volume so your people spend their day on conversations that need judgment and care. Zero people replaced is the stance we’re proudest of.
Yes, with scoped access: the narrowest permissions that let it do its one job and nothing else. Your security team reviews every scope before production, and every action the agent takes lands in the audit trail.
Grounding in your sources, required citations, a tight scope, and testing against real requests before it meets a real user. Nothing makes the risk zero, so we also design for the miss: low-confidence handoffs and an audit trail that surfaces a bad answer fast.
Your team, on purpose. You get the documentation, the full configuration, and training for the people who supervise it, plus a support window and a person to call after that. We don’t build black boxes you have to rent forever.
Project-based for a scoped build, retainer if we’re running an agent program together. You’ll hear numbers on the first call, once we’ve seen the job. Scope drives everything, which is why we don’t publish a rate card.