AI agents that plan the work — and do it.
Not another chatbot. We build agents that reason over your data, make the call, and carry out real work end to end — with approvals, spend limits, and a full audit trail, so you supervise only the exceptions.
Agentic AI is our engineering service for teams that need software to decide and act — not just answer. We build multi-step agents that reason over your data, make judgment calls against your rules, and execute real work end to end — creating and assigning tasks, running outreach, placing and analyzing calls, monitoring around the clock — each shipped with permission checks, approvals, spend limits, and a full audit trail. It's built for the repetitive, judgment-heavy loops you run the same way every day: the agent handles the work while you supervise the exceptions.
Key capabilities.
What Agentic AI delivers — outcomes, not slideware.
Agents that act, not just answer
They don't stop at a reply — they execute real operations in your systems, from creating and assigning tasks to sending outreach and placing calls.
Autonomy with guardrails
Every action is permission-checked, rate-limited, and bounded by spend ceilings with automatic kill-switches, so an agent can run unattended without becoming a liability.
Decisions you can trace
We pair model judgment with explainable rules, so every verdict comes with a rationale you can audit — not a black-box guess you have to trust.
Grounded in your reality
Agents reason over your live records, knowledge, and systems, so their answers and actions reflect your business rather than a generic model's assumptions.
Runs on its own schedule
These are agents, not buttons — they work continuously in the background, handling the loop without waiting for someone to press start.
Voice that closes the loop
When the task is a conversation, agents place and take calls, then turn each one into ranked, ready-to-action follow-ups.
From start to shipped.
- 01
Discovery
A free call to map the decision or loop you want to automate — the data it touches, the rules it must respect, and where a human should sign off.
- 02
Blueprint
We design the agent's plan-and-act loop, its guardrails, and your oversight checkpoints, so you know exactly what it will do and what it won't.
- 03
Build
We engineer the agent against your systems and data, with permission, spend, and safety controls wired in from the start.
- 04
Harden
We test against your real cases, pair model judgment with explainable rules where stakes are high, and tune until the economics work.
- 05
Deploy and own it
We ship to production with monitoring and audit in place, then hand off — on custom engagements, the agent's code is yours to run and extend.
- Decision agents that weigh options and issue explainable verdicts
- Assistants that create tasks, assign work, and act on live data
- Voice agents that call, qualify, and log every conversation
- Sales agents that find, score, call, and follow up 24/7
- Document and codebase agents that scan, summarize, and recommend
- Monitoring agents that watch for conditions and alert on the spot
- Knowledge agents grounded in your own documents and records
Good questions.
How is this different from your Automate service?
Automate connects your tools and moves data between them. Agentic AI is for the harder problems — systems that reason, weigh options, and decide, then act. If it's 'when X happens, do Y,' that's automation; if it's 'look at everything, figure out the right call, and execute it,' that's an agent. Many engagements use both.
What does it cost?
Pricing is scoped on a discovery call, because it depends on how many steps and systems are involved and how much autonomy versus oversight your agent needs. We quote fixed scope wherever we can — no public price list, no surprise retainer.
How long until it's live?
Weeks, not quarters. We're a senior team and we design for production from day one — real deployment, monitoring, and hand-off, not a demo that dies in a notebook.
How do you keep an autonomous agent from going off the rails?
Guardrails are part of the build, not an afterthought — permission checks on every action, spend limits with kill-switches, explainable rules around model judgment, human approvals for high-stakes steps, and a full audit trail behind every decision.
Can you prove you actually ship agents?
Yes. Autonomous agents run in our production portfolio today — hourly decision agents, outbound voice agents that call and analyze every conversation, and assistants that execute permission-scoped actions on live data. Six AI products are live as reference builds.