AI Agent Development Services
Agents that are able to plan, carry out, and complete multi-step tasks within your actual systems—obtaining human approval where this is necessary. We design, construct, and manage agentic workflows that prove reliable in production, not just in a demonstration.
When agents are the right answer
Things such as quoting, issuing invoices, onboarding customers, and reporting—workflows that involve five different tools and require a judgment call at every stage—are still carried out by hand.
The data is there, but it takes up the entire working time of a human to transfer it from the CRM, ERP, inbox, and spreadsheets.
You had used assistants who were able to answer questions but not capable of carrying out any actions. What you need is software that can carry out tasks.
What we build
Custom AI agents
Agents that are designed for a specific purpose and are based on a single workflow consisting of reading, deciding, and taking action according to clear rules, including an approval stage where required because of the stakes involved.
Multi-agent orchestration
Teams of specialized agents — a planner, executors, and a reviewer — that hand work to each other, coordinated so the entire workflow is completed reliably.
MCP integrations
We integrate agents with your CRM, your ERP system, your databases, and your internal tools by means of the Model Context Protocol, enabling them to act on current data rather than on outdated exports.
Agentic workflow automation
The mundane middle stages of business processes—such as using the browser, handling documents, drafting emails, and carrying out system updates—are automated from end to end.
Guardrails & human approval
The permission boundaries, action allow-lists, and human-in-the-loop checkpoints have been incorporated into the architecture from the beginning rather than being added upon occurrence of an incident.
Agent evals & monitoring
Each agent comes with an evaluation suite and production monitoring, enabling you to observe what it did, the reasons for it, and how reliably it did so — both before and after it is launched.
Where this earns its keep.
Every engagement runs spec-first, agent-accelerated, human-owned.
A written specification that has been approved by the client prior to any coding taking place — covering the architecture, the edge cases, and the acceptance criteria.
The engineers arrange for the AI agents to carry out the specification in parallel, taking weeks rather than quarters.
The evaluations, tests, and security checks are carried out together with the build, and humans examine every decision that is important.
The system has been deployed to your GCP or AWS, complete with monitoring, production evaluations, and retraining loops.
From the portfolio.
A knowledge-grounded assistant that speeds up support resolution
An internal support assistant which enables employees to resolve technical problems by asking questions in plain language and receiving answers based on the organization's own documentation, rather than having to go through error logs and refer to dispersed sources.
Tools we reach for.
Chosen for each project based on evaluations and fit — never out of habit.
Questions, answered.
What's the difference between an AI agent and a chatbot?
How do you keep agents from doing something they shouldn't?
Can agents work with our internal and legacy tools?
How do you measure whether an agent is reliable enough to deploy?
Should we build a custom agent or buy an off-the-shelf one?
Have a use case in mind? Let's pressure-test it — free.
A 30-minute call with our engineers, not a salesperson. You'll receive an honest assessment of feasibility, a preliminary architecture, and a clear next step.
Book a free AI consultation