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Custom AI Agents.

Off-the-shelf AI tools are useful up to a point. When you need something that truly fits your workflows, your data, and your team, you need something built for you. I design and develop bespoke agentic AI systems, built bounded by design, with traceable decisions and explicit refusal behaviour.
Untrusted inputs
refused at the boundary
Off-scope requests
refused at the boundary
Direct child contact
refused at the boundary
Allowed input
via parent gate
Specialist tools
scoped to one job
Custom training
domain-specific
Audit log
every interaction
Safe outputs
accountable, traceable
The boundary
Inside the boundary
Four principles that make this AI safe to put in front of children, vulnerable users and regulated work.
Held at the rim
Refusals are deliberate, logged and surfaced, never silent failures or model dodges.
The challenge

Generic AI does not solve specific problems

Most AI products are built for the broadest possible audience. They are impressive in demos but frustrating in practice: too rigid, too generic, too disconnected from the way your team actually operates.

The real value of agentic AI lies in systems that understand your specific context and can act on it autonomously, reliably, and within boundaries you define.

The approach

Built around your reality, bounded by design

Every agent I build starts with a deep understanding of the problem it is solving. I work closely with your team to map the workflows, identify the friction points, and design systems that fit naturally into how people already work.

Bounded by design is the defining characteristic: a hierarchical architecture with a supervisor that enforces refusals, writes the audit log on every turn, and protects the people the system actually serves. Iterative development, transparent architecture, and clear documentation throughout.

What's included

What I build

Personal AI Copilots

Intelligent assistants tailored to how you and your team actually work. Not generic chatbots: purpose-built tools that understand your context, your data, and your priorities.

Workflow Automation Agents

Autonomous agents that handle the repetitive, time-consuming tasks your team shouldn't be doing manually. From data processing to report generation, designed to run reliably in the background.

Decision-Support Systems

AI systems that surface the right information at the right time, helping your team make better decisions faster. Built to augment human judgement, not replace it.

Integration with Existing Tools

Agents that work with the platforms and systems you already use: CRMs, project management tools, communication channels, databases. No rip-and-replace required.

How it works

From concept to working system

Three phases, predictable for you, defensible for your board, fully logged from day one.

01 / 03
Discovery
Understanding the problem, the workflow, and the people involved. We agree what the agent is for and, critically, what it must refuse.
02 / 03
Architecture
Designing the agent's capabilities, boundaries, and integration points. The boundary is the product, not an afterthought.
03 / 03
Build & iterate
Developing in short cycles with regular feedback from your team. Every refusal is logged at the rim, never silenced.
Related

Works well alongside

AI Strategy

Not sure what to build first? A strategy engagement helps you identify the highest-impact opportunities.

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Fractional AI Lead

For ongoing AI guidance after the agent ships. Embedded leadership that owns the roadmap.

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Case study

Touchline

A custom agentic system for grassroots football coaching, bounded throughout because the people on the other side of the screen are children.

Read more →

Where we work

Working with businesses across Norfolk and East Anglia.

FAQ

Common questions about Custom AI Agents

A Custom AI Agent from MoonBoots Consultancy is a bespoke system on the Anthropic Claude API, scoped to a specific domain and fully logged. We use a hierarchical multi-agent architecture, build it ourselves, and ship the code to your repository.

  • What is a "Custom AI Agent" in your definition?
    A bespoke AI system built on the Anthropic Claude API, scoped to a specific domain, allowed only to use a specific set of tools, and fully logged on every interaction. It is the opposite of a general-purpose chatbot. It can do things a chatbot cannot, because it is bounded by design.
  • Why Anthropic Claude rather than OpenAI?
    Two reasons. First, the tool-use and agentic patterns on Claude are more reliable in production than the OpenAI equivalents, particularly for multi-step workflows. Second, the bounded patterns we build (controlled tool access, deterministic guardrails, observable behaviour) map cleanly onto Claude's API design. We will use OpenAI where the client requires it, but Claude is the default for technical reasons.
  • What does "hierarchical multi-agent architecture" actually mean?
    Instead of one large agent trying to do everything, we use a small orchestrator agent that delegates specific subtasks to specialised worker agents. This is faster (parallel work), cheaper (smaller models on subtasks), and more reliable (each agent has a clear bounded job). It is also harder to build, which is why most consultancies recommend off-the-shelf single-agent products instead.
  • How long does a Custom AI Agent take to build?
    Typically 4 to 12 weeks from kickoff to a working production system, depending on scope, integration count, and review cycles. The Blueprint Day will produce a phased build plan with realistic timelines for your specific scope. Quoted as a fixed-price project, not day rate.
  • Will we own the code and the system?
    Yes. All code, infrastructure, and integration work is delivered to your repository or hosting account. No platform lock-in. No ongoing licence fees to MoonBoots. You can continue without us, hire another team to maintain it, or come back to us for changes.

Have a problem that needs a custom solution?

Tell me about the workflow you want to improve. I will give you an honest view of what is possible, what it would take, and whether a custom agent is the right approach.

Start the conversation