AI Agents Development
Custom AI agents that take over high-volume work inside the systems you already run. We start with a $9,000 proof of concept, so you see results on your own process before committing to a full build.
Custom AI agents that take over high-volume work inside the systems you already run. We start with a $9,000 proof of concept, so you see results on your own process before committing to a full build.
Not every “AI” is an agent
Which agent fits your process
WHAT IT DOES:
Runs one repeatable, high-frequency process end to end, following your business rules instead of a generic template. Escalates to a person the moment a case falls outside agreed limits, instead of guessing.
How the Engagement Runs
We deliver with Managed Agentic Engineering (MAE). Every phase ends with a measurable exit threshold, and at each gate you decide: continue, re-scope or stop. If the proof of concept misses the bar, you find out in weeks, at PoC cost.
The use case becomes a measurable spec: the task, real examples, a success threshold you sign off on. 1–2 weeks.
A working slice runs on your real data, scored against the threshold. This is the $9,000 Audit/PoC.
Hardened for a controlled group of real users: guardrails, human-in-the-loop, full workflow coverage.
Observability, automated testing in CI, staged rollout, full Governance Package, incident/rollback playbook.
The agent goes live in your production environment: final checks, staged cutover, real traffic.
Monitoring against agreed service levels, prompt/model updates, monthly reporting.
Answer 4 quick questions
About your data, systems, team, and the problem you want to solve first.
Find your entry point
See whether AI Discovery or Audit/PoC is the right place to start.
Book a 30-minute call
Pick a time to walk through your process and the recommended next step.
Enterprise AI agent development
In a large company, an agent has to get past security, plug into existing systems and stay under your control after launch. Here’s how we handle each one.
Each agent gets role-based access to only the data and tools its job needs. Discovery ends with an audit-ready Governance Package. SOC 2 Type II audit in progress, expected Q1 2027. The controls it covers are already built into every agent we ship.
Agents connect to Salesforce, HubSpot, Slack, Jira, SAP and your own databases through APIs and Model Context Protocol. No new platform to roll out, no change to how your teams work.
Code, fine-tuned models and knowledge bases deploy into your own infrastructure. No licensing fees, no vendor lock-in.
For an agreed period after go-live, our team stays on the project: we watch how the agent performs, tune it on real cases, and fix issues as they come up. Anything outside agreed limits still goes to a person on your side, so control never leaves your team.
Agent capabilities by industry
Every system below is part of our clients’ daily work, and each tile shows the difference it made.
Frequently Asked Questions
A chatbot answers. An agent plans steps, calls your tools, and changes something in your systems, with a human where the stakes are high. If a chat interface over your own content is all you need, Conversational AI or AI Knowledge Base is the cheaper, faster answer, and we'll tell you so on the call.
Ready to build an agent that earns its cost?
Every great project needs more than a vendor — it needs an ally. That’s exactly the role my team and I take on.
You ask, it answers. Everything else is on you.
You paste the customer’s message into a chat and get a polite reply draft. Checking the order, chasing the supplier and replying are still your job.
Best for:
Follows a fixed script, one you could sketch on a napkin.
The ticket gets tagged “delivery”, the order number is pulled out, and a template reply goes out. If the case is off-script, say the order is lost rather than late, it lands back in your team’s queue.
Best for:
Gets a goal and works out the route itself.
The agent checks the order system and the carrier’s tracking, finds where the order is stuck and books a new delivery. The customer gets a new date. If tracking looks fine, it checks the warehouse and the supplier instead.
Best for:
A team of agents that check each other’s work.
One agent finds the cause of the delay, another plans a reroute, and a third checks the cost before anything is booked. If the fix goes over budget, a person approves it.
Best for:
