Hours returned to your team
Agents take on high-volume, rules-heavy work so people can focus on judgement and relationships.
AI Agents & Automation
AI agents that do the work, not just talk about it.
We design and build AI agents that read, decide and act across your systems — triaging tickets, processing documents, updating your CRM and running multi-step workflows with human approval where it matters.
AI Agents & Automation
We don't stop at a demo. Every AI Agents & Automation engagement ships to production with evaluations, monitoring and documentation — measured against the outcomes that matter to your business.
Outcomes
What this means for your business
Works with your stack
Connected to the tools you already use — email, CRM, helpdesk, ERP, databases and internal APIs.
Safe by design
Guardrails, permissions, audit logs and human-in-the-loop checkpoints built in from day one.
What's included
Typical deliverables — tailored to your scope in our proposal.
- Workflow and process mapping
- Agent architecture and tool integrations
- Guardrails, evaluations and monitoring
- Admin dashboard and audit trail
- Deployment to your cloud
- Team handover and documentation
Example use cases
Common projects our clients start with.
Support ticket triage and drafted repliesInvoice and document processingLead research and CRM enrichmentInternal operations assistantsReport generationData entry and reconciliation
Typical technology
Chosen per project based on your requirements.
OpenAIAnthropic ClaudeLangGraphn8nPythonTypeScript
How we deliver
From kickoff to launch
Discover
1–2 weeksWe map your goals, users, data and constraints, then define the highest-value use case and how success will be measured.
Prototype
1–3 weeksA working prototype tests the riskiest assumptions with real data — so you see results before committing to a full build.
Build
4–10 weeksWe engineer the production solution in short sprints with weekly demos, evaluations and full transparency on progress.
Launch & scale
OngoingWe deploy, monitor quality and cost, and keep improving — or hand over to your team with documentation and training.
How long does it take to build an AI MVP?
Most MVPs take six to twelve weeks, depending on scope, integrations and data readiness. We agree milestones up front so timelines stay predictable.
Who owns the code and IP?
You do. All code, prompts, models, documentation and intellectual property created for your project are transferred to you.
How do you handle data privacy and security?
We follow least-privilege access, keep your data in your environment wherever possible, sign NDAs and DPAs on request, and use model providers configured not to train on your data.
How is pricing structured?
Discovery Sprints and MVP builds are fixed-price against an agreed scope. Dedicated teams are billed monthly. You'll receive a detailed proposal after our first call.
Related services
Often combined with
Let's talk about your AI Agents & Automation project.
Tell us what you're working on. We'll reply within one business day with honest advice on the fastest path to results.