AI automation with a clear job, sensible controls and human oversight.
We build useful assistants and connected workflows for inbox triage, internal knowledge, document extraction and repeated operational work.
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AI is powerful, but a convincing answer is not the same as a dependable result.
Poor source material, weak permissions and missing review steps can turn a promising demonstration into an operational risk.
We choose narrow, valuable tasks, connect trusted information and keep people in control wherever judgement or accountability matters.
What is included
A useful, complete piece of work.
- Smart inbox and lead triage
- Draft replies with approval routes
- Internal knowledge-base assistants
- PDF, receipt and email data extraction
- Make.com, n8n and API workflows
- AI readiness and vendor review
- Privacy, permission and retention controls
- Testing, monitoring and usage guidance
What should improve
- Less time sorting and re-keying information
- Faster access to trusted internal knowledge
- Useful automation without hidden decision-making
- Clear limits, escalation routes and accountability
How the work moves
A clear route from problem to improvement.
Choose a narrow job
We define the task, source information and measurable benefit.
Build the controls
We set permissions, review points, fallbacks and clear failure routes.
Prove it with real cases
We test accuracy and cost before expanding the system.
AI pitfalls we plan for.
- Confident but inaccurate output
- Sensitive information sent to the wrong provider
- Automating decisions that need judgement
- Outdated or conflicting source documents
- Hidden usage costs
- No audit trail or correction route
- Staff using unapproved tools
- Dependence on one model or vendor
Related services
Start with the problem.
You do not need to choose the solution before getting in touch. Tell us where work is getting stuck.
