Custom AI Agents
An agent that only talks is not an agent. We design and build agents that read, write, trigger processes, and support your staff, inside your existing TMS, ERP, CRM, or case management system. Evaluation, monitoring, and governance are part of delivery, not an afterthought.
Who it is for
Enterprise product owners and business-line leaders who need an autonomous agent that reaches into existing systems and takes real action: a TMS, an ERP, a CRM, a ticketing system, a case-file store.
- Enterprise product owners
- Business-line leaders
- Enterprise IT leadership (as gatekeeper)
Problem it solves
Agents that cannot reach existing systems deliver no value. The interesting agents are the ones that can read a case file, post a record, trigger a process, or decide which human to route to. That needs integration literacy, governance, and operations, not just an LLM.
- "We need an agent that handles inbound case creation end-to-end."
- "Our support team is drowning in tickets that could be resolved automatically if the agent had access to three systems."
- "We want to pilot an agent but every vendor we talk to wants to replatform our whole stack first."
What a typical engagement looks like
| Phase | Duration | Output |
|---|---|---|
| Discovery and scoping | 1 to 2 weeks | Use-case spec, data-flow map, integration inventory, AI Act classification |
| Design | 1 to 2 weeks | Agent topology, tool set, guardrails, evaluation plan |
| Build | 4 to 10 weeks | Production agent integrated into named systems, with monitoring |
| Handover | 1 week | Runbook, evaluation suite, operations decision |
Team: A team of architects and engineers from our AI practice, with integration and governance specialists as needed.
Approach
- Model-agnostic: LangChain, OpenAI Agents, or custom. MCP where it fits.
- Integration via REST, webhooks, message bus, and ESB patterns. From modern API integration to legacy system unlock.
- Hosting as a design choice, not a default. From client-owned infrastructure to EU-sovereign hosting (HostedAI is one option), argued per use case.
- Every agent ships with a test suite, expected tool-call traces, and a drift alert.
Proof
TODO(sanne): add an anonymised enterprise or public-sector agent case.
What this service is not
- A chatbot on your website.
- A pilot that never lands in production.
- An agent without an evaluation harness.
Related services
AI Solution Architecture
AI architecture, not generic IT architecture.
EnterpriseManaged AI Operations
Monitoring, evaluation, and incident response for live AI systems.
Enterprise · Public sectorAI Governance & Compliance
AI Act classification, risk register, model and vendor governance.