Custom AI agents built around your exact workflow — your systems, approval chain, and definition of done. Discovery to production in weeks, full code ownership.
Share your project details — a senior engineer responds within 4 hours.
Independently audited, certified and built to standards you can check
Custom AI agent development builds autonomous agents tailored to your specific workflow, systems, and compliance requirements. Built for businesses where platform templates fail — unusual approval chains, legacy integrations, or regulated processes — it delivers owned code, evaluation suites, and infrastructure you control, not seat-based SaaS you cannot leave.
Before we design anything we test whether an agent is actually the right tool for your problem. Some workflows are better served by a simpler rules engine, and we will tell you that instead of selling you an agent you do not need.
Single agent, agent plus tools, or a small multi-agent system — the architecture is decided by what the task requires, not by which pattern a platform vendor has pre-built. Over-engineering a simple task is as common a failure as under-building a complex one.
The agent is built directly against your actual APIs, databases and internal tools — not a generic connector that covers the 80% every vendor supports and leaves your specific workflow unsupported.
A labelled test set from your real tasks ships with the agent, not after the first embarrassing production mistake. You know before launch roughly how often it will be right.
Code, prompts, evaluation suite and infrastructure are yours at handover — no seat-based SaaS subscription, no proprietary platform you cannot leave, no vendor holding your workflow hostage on renewal.
The tool layer and orchestration are structured so that adding a second agent or a new capability later is an addition, not a rewrite — the most common reason "custom" projects age badly is that nobody planned for a version two.
Our Work
200+ products shipped across fintech, healthcare, e-commerce, and SaaS — built to scale, designed to convert.
Web Design
A marketing site for an interior design studio, rebuilt on Next.js to load fast on mobile and convert visitors into enquiries.
Healthcare
A patient management platform handling scheduling, records and clinician-patient messaging for a healthcare provider.
E-Commerce
A fitness e-commerce storefront built on Next.js with Shopify as the commerce backend and Stripe handling payments.
Logistics
A delivery management platform with live vehicle tracking, route planning and customer-facing shipment status.
Logistics
A freight management platform for an established trucking operator, covering load tracking and job records.
SaaS
A multi-tenant SaaS platform that aggregates business reviews across sources and surfaces them in one dashboard.
We map the workflow as it actually runs, including the exceptions and workarounds nobody put in the SOP, and inventory every system the agent will need to touch.
We choose the simplest architecture that solves the problem and design typed, permission-scoped tools for every system the agent will call — the design work that determines whether the build goes smoothly.
Weekly working demos against your real or sandboxed systems, not a slide deck. You see the agent's actual behaviour early enough to redirect it cheaply.
The agent runs against live inputs without committing changes, or with a human approving every action, until the agreement rate earns wider autonomy.
Full documentation, source access, and a walkthrough of the codebase with your team — so you are never dependent on us to make a small change.
Common questions about custom AI agent development — how it compares to platforms, cost, timeline, our process and code ownership.
Ask our teamPlatforms are fast to start and cheap to trial, and for a generic use case — a standard support widget, a common CRM automation — that speed is the right trade. Custom development earns its cost when your workflow does not fit the platform's assumptions: an unusual approval chain, a legacy system with no native connector, a compliance requirement the vendor has not built for. We will tell you honestly during scoping if a platform would serve you just as well for less money.
Cost is driven by scope. A single-purpose custom agent with three to five tool integrations typically lands in four to six weeks. Systems that need several coordinating agents run two to five months. Organisation-wide agent infrastructure with custom tooling and compliance controls is a larger scope again, and scales with the number of core systems and compliance regimes involved. We quote fixed-price after the scoping phase, once we have seen your actual systems — not an hourly estimate that grows as we discover complexity.
Four to six weeks for a well-scoped single agent, assuming we get access to the target systems in week one — credentials and sandbox access are usually the critical path, not the engineering. Multi-agent or multi-system builds run two to five months. We stage delivery so a narrow, working version reaches you early rather than a single reveal at the end.
After scoping, you get a working demo every week against real or sandboxed data — never a status slide claiming progress you cannot see. Weeks one and two are architecture and tool-layer design, the middle stretch is iterative build against the growing evaluation set, and the final stretch is shadow mode or pilot before anything runs unattended.
Yes, entirely. There is no proprietary runtime you are licensing and no seat-based subscription that starts once we leave. You receive the source repository, the evaluation suite, infrastructure-as-code for what we provisioned, and documentation written for an engineer who was not in the room — because the point of custom development is that you are not locked to us either.
That is normal, and it is what the scoping phase is for. Most clients arrive with a painful process and a rough instinct that AI could help, not a finished specification. We run a short discovery engagement that produces a concrete recommendation — including, sometimes, that an agent is not the right answer yet — before you commit to a build.
Free scoping call, an honest feasibility read, and a fixed-price proposal within 48 hours if it makes sense to proceed.
