Custom AI Agents
Custom AI agents that use your tools — within limits you set.
For workflows that off-the-shelf tools can't handle, we connect language models to approved tools and APIs, with orchestration, validation, permissions, logging and human approval for consequential actions.
Who this is for
- Businesses with a high-value workflow that standard tools don't cover
- Teams that need AI to work with internal data securely
- Companies that have outgrown no-code automations
The problem
Where time and leads are lost today
Some workflows involve judgement, several systems and company-specific knowledge. Generic AI tools don't know your data or your rules, and simple automations can't handle the exceptions.
Signs this service is a fit
- Staff search several systems to answer one question
- A process needs reading, deciding and acting across tools
- No-code automations have become fragile and hard to maintain
The solution
How we solve it
Approved tools & APIs
The agent can call specific systems through an explicit allow-list, each with its own limited credentials.
Orchestration
Multi-step tasks are broken into defined stages, so each step can be tested, retried and explained.
Validation
Model outputs are checked against schemas and business rules before anything is written or sent.
Permissions & approval
Data access mirrors your existing roles. Consequential actions pause for a person with a clear summary.
Logging & error handling
Actions, failures and costs are logged; errors fall back to a person instead of failing silently.
Example workflow
Internal support agent for a property manager
- Automated step
- A person reviews or acts
- 01
Staff question (a person reviews or acts)
A team member asks about a property or tenancy.
- 02
Knowledge retrieval (automated)
Relevant documents and records are retrieved with permissions applied.
- 03
Draft answer (automated)
The agent answers with links to its sources.
- 04
Proposed action (automated)
If an action is needed (e.g. a maintenance ticket), it is drafted and validated.
- 05
Approval (a person reviews or acts)
A person approves, edits or rejects the action.
- 06
Action & log (automated)
The approved action is executed and logged.
Illustrative workflow. Each custom agent is specified during the assessment.
Integrations
Works with the tools you use
AI & data
- Leading LLM providers
- Vector / full-text search
- PostgreSQL
- Document stores
Business systems
- CRMs
- ERPs
- Helpdesks
- Internal APIs
- Webhooks
Implementation
What we'll need from you
- A workflow assessment (scoped and priced separately or credited against the build)
- A clear owner and success measures on your side
- Access to the relevant systems and documents, with data-sharing approval
- Test cases drawn from real situations
- Involvement in acceptance testing before launch
Expected benefits
How we measure whether it's working
Time to complete the task
Minutes per task, before and after.
Approved without edits
Agent-prepared actions approved as-is vs. edited or rejected.
Escalation rate
Share of requests the agent passes to a person.
Cost per task
AI usage and infrastructure cost per completed task.
Pricing guidance
€3,000–€8,000+ implementation (indicative)
Custom agents are quoted after the workflow assessment. Price depends on integrations, data preparation, permission rules and the depth of testing required.
Hosting, AI usage and monitoring are ongoing costs. We estimate them during the assessment and track them after launch.
Quote process: free consultation → written scope with a fixed implementation price → build.
See all pricingSecurity & human oversight
- Explicit allow-list of actions; everything else is out of scope for the agent
- Approval steps before sending communications, changing records, issuing refunds or financial actions
- External emails, documents and web content are treated as untrusted input
- Role-based data access mirrors your existing permissions
- Logging of agent actions without unnecessary sensitive data
Limitations to know about
- Agents are not fully independent: consequential actions wait for a person by default
- Language models can make mistakes; validation and review reduce errors but don't eliminate them
- The agent can only use systems that expose a usable API and that you grant access to
- Ongoing AI usage and hosting costs depend on volume and are not included in the build price
Get started
Discuss a Custom AI Agents project
Frequently asked questions
Why start with an assessment?
Because many failed AI projects start building before the workflow is understood. The assessment defines scope, risks and success measures, so the quote is realistic.
Will the agent act on its own?
Only within the permissions you approve. Anything consequential pauses for a person by default.
Which AI model do you use?
We are not tied to one provider. We choose based on quality for your task, cost, data processing terms and region, and keep the integration replaceable.
Can we start small?
Yes, and we recommend it. A narrow first version that works reliably is more valuable than a broad one that doesn't.
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Next step
Find out what's worth automating in your business.
Book a free 30-minute consultation. We'll look at how your team works today and recommend a practical first step, or tell you honestly if automation isn't worth it yet.