AI agents that get work done
Agents are AI that completes work, not just answers questions. We build them to run inside your existing systems, with guardrails, approvals, and monitoring your business can trust.
- Human approval on sensitive actions
- Full audit trail
- Works with your current systems
What an AI agent actually is
Think of an agent as a reliable junior colleague with instant recall. Given a task, it reads the context, checks your systems, takes the steps it is allowed to take, and hands over anything unusual.
Answers a customer asking "Where is my order?" with tracking information it looked up.
Notices the order is stuck, checks the courier status, reissues the shipment per your policy, notifies the customer, and logs it all in your CRM. If the refund exceeds its limit, it asks a human first.
Agents act across systems and carry a task to completion. That is why guardrails, permissions, and monitoring matter as much as the model itself.
Agents for every part of the business
Five kinds of agents we build most often, each scoped to a job your team is currently doing by hand.
Support agents
Resolve routine tickets end to end: look up the order, check the policy, reply, and update the helpdesk. Hard cases go to your team with full context.
Sales agents
Qualify inbound leads, answer product and pricing questions, draft quotes, and keep your CRM updated without anyone retyping data.
Operations agents
Watch orders, stock, and shipments across systems, chase missing information, and flag exceptions before they become problems.
Research agents
Gather and summarise information from your documents and approved sources, so decisions start from a brief instead of a blank page.
Coding agents
Accelerate your internal engineering: agents that write, review, and test code under the supervision of your senior developers.
Agents your business can trust
Autonomy is earned, not assumed. Every agent we ship starts with tight limits and a human in the loop.
Human-in-the-loop by design
Sensitive actions such as refunds, price changes, or external emails wait for a person to approve. You decide where the line sits, and it can move as trust grows.
Scoped permissions
Agents get the narrowest access that does the job. Read-only where possible, write access only to specific records, and nothing touching systems outside their task.
Clear boundaries and fallbacks
Every agent knows what it must not do and what to do when unsure: escalate to a human, never guess. Failure modes are designed, not discovered.
Full audit trail
Every action, tool call, and decision is logged. When someone asks why the agent did something, there is a precise answer.
Connected through MCP and your APIs
An agent is only useful if it can reach your systems. We connect agents to your ERP, CRM, helpdesk, and databases through their APIs and through MCP, the open standard for giving AI safe, structured access to tools.
One connector, many agents
An MCP connector we build for your ERP or CRM is reusable. Your first agent pays for the plumbing, every later one gets it free.
Access you control
Each tool exposes only the operations you approve. The agent can create a support ticket without being able to touch invoices.
Built on proven frameworks
We build agent workflows with LangGraph and LangChain, running Claude, Gemini, or open models via Ollama depending on your quality, cost, and privacy needs.
Proven before launch, watched after
An agent you cannot measure is an agent you cannot trust. Measurement is part of the build, not an afterthought.
01
Test cases before launch
We build an evaluation set from your real scenarios and score the agent against it before it touches production. If it cannot pass your cases, it does not ship.
02
Monitoring in production
Dashboards track resolution rates, escalations, latency, and cost per task. You see what the agent is doing, not just that it is running.
03
Continuous improvement
Escalated and failed cases feed back into the evaluation set, so the agent measurably improves over time instead of quietly drifting.
More ways we apply AI
AI development services
The full picture of AI systems we build for business.
Learn moreAI chatbot development
Conversational answers grounded in your company data.
Learn moreAI workflow automation
Automate intake, approvals, and data entry between systems.
Learn moreAI consulting
Not sure where an agent fits? Start with a discovery workshop.
Learn moreAI agents, answered
What is an AI agent, in business terms?
Software that can complete a task the way a capable employee would: it reads the request, looks things up in your systems, takes the allowed actions, and escalates when unsure. A chatbot answers questions; an agent gets work done, such as resolving a ticket or preparing a quote.
How do you stop an agent from doing something it should not?
Guardrails are built in from the start: scoped permissions, approval steps for sensitive actions, hard rules the agent cannot cross, and a full audit log of everything it does. Agents start conservative and earn autonomy as results prove out.
How does an agent connect to our existing software?
Through your systems' APIs and through MCP, an open standard for connecting AI to tools. We build connectors for your ERP, CRM, helpdesk, or database, so the agent works inside your current stack rather than replacing it.
How do we know the agent is actually performing?
Before launch we test it against an evaluation set built from your real cases. After launch, monitoring dashboards track resolution rates, escalations, and cost per task, and failed cases feed back into testing so quality improves over time.
How long does it take to build an AI agent?
A focused agent with a clear job, such as support triage or lead qualification, typically ships in 4 to 8 weeks including integration, evaluation, and guardrails. Multi-agent systems take longer and we scope them honestly up front.
Do our staff lose their jobs to agents?
The agents we build take over repetitive volume, not judgment. In practice teams stop doing data entry and ticket triage and spend their time on the cases and customers that need a human. Your people also stay in the loop as approvers and supervisors.
Which task should your first agent own?
Book a free discovery session. We will map your workflows, pick the agent with the clearest payoff, and send a fixed quote within days.
- Free discovery session
- NDA available
- Reply within one business day