AI Development & Automation Agency
Many AI projects stall after the demo. The prototype answers well in a meeting, then gets things wrong on real data, and nobody trusts it enough to rely on it. We build AI agents, retrieval (RAG) systems and workflow automations connected to your actual tools and data, with validated outputs, testing and monitoring, so the system is dependable enough to hand real work to.
What this gives you
- Specific, repetitive tasks handled automatically, with people reviewing the exceptions
- Outputs checked against your rules before they reach a customer or another system
- AI working inside the tools your team already uses
Some of the teams we’ve worked with
What’s included
The work we take responsibility for.
AI agents and assistants
Agents that complete multi-step tasks across your systems, such as triaging requests or preparing documents, with a person approving the steps where a mistake would be costly.
Workflow automation
Automations built in n8n, Make or custom code that move information between systems and handle the routine steps your team currently does by hand.
RAG and chatbots
Assistants that answer from your own documents and data, and show where each answer came from so staff can check it.
LLM integration
OpenAI, Anthropic and AWS Bedrock models connected with structured outputs validated against a schema, so the systems downstream receive data in a predictable format.
Testing and monitoring
Evaluation sets built from your real cases, guardrails on inputs and outputs, and monitoring that tells you when quality drops.
AI for smaller teams
For small businesses we start with one contained automation that has a clear payoff, and build from there once it has proven itself.
Deliverables
What you keep when the work is done.
- Use-case and cost-benefit plan
- Working AI system
- Integrations
- Guardrails and evaluations
- Monitoring and documentation
How we deliver
Scope and design the system
A senior engineer works out the data model, the integrations and the build plan with you. These decisions shape everything after, so a person makes them.
Build, with AI on the routine work
AI tools draft scaffolding, boilerplate and first-pass tests, so engineering hours go into the parts specific to your business.
Review and harden
Engineers review the code, check security and own the quality of what ships. Nothing AI-drafted goes out unreviewed.
Launch and keep improving
Production release with monitoring in place, then short cycles of changes based on how people actually use it.
FAQ
Common questions about AI Development & Automation
What can an AI development agency build for us?
Typical projects include a support assistant that answers from your documentation, an agent that extracts and checks invoice data, lead qualification, and automations that connect your tools. The common thread is a repetitive task with clear rules for what a good result looks like. Our focus is what it takes to run these in production: validated outputs, testing and monitoring.
Is AI automation worth it for a small business?
Often, if the task is specific. The best returns tend to come from narrow jobs such as inbox triage, data entry or recurring reports, rather than broad AI strategy projects. We start with one contained automation and expand once it has earned its place.
How do you stop AI from hallucinating?
You can’t remove the risk entirely, but you can control it. We ground the model in your own data, validate outputs against a schema and your business rules, test against real examples before launch, and keep a person in the loop wherever an error would be expensive.
Which models do you use?
Whichever suits the task: OpenAI, Anthropic (Claude) or models on AWS Bedrock, chosen on quality, cost and response time. We keep the integration model-agnostic, so you can switch providers as prices and capabilities change.
What do you need from us to start?
A clear description of the task, examples of it done well and done badly, access to the systems involved, and time with someone who does the work today. Their knowledge of the exceptions is usually what separates a useful automation from one that needs constant correction.
Related services
Talk through what you need with someone technical.
Share a few details and an engineer will reply within one business day with clear next steps. If it looks like a fit, you can start with a one-week trial on real work.