What slows deployments down
The technology is rarely the blocker. The blockers are: getting access to data, documenting the SOP the agent follows, and getting team sign-off. SMEs that pre-document their processes deploy 30–40% faster.
AI Answers · UK 2026
How long does it take to deploy an AI agent?
Direct answer
A simple AI agent (single task, low integration) deploys in 2–4 weeks. A medium-complexity agent (multiple integrations, custom logic) takes 4–8 weeks. A complex multi-system agent replacing a full role takes 8–12 weeks. The bottleneck is usually data access and SOP documentation, not AI capability.
Definition
AI agent deployment: End-to-end process of scoping, building, testing, integrating and rolling out an AI agent into a business workflow.
At a glance
| Complexity | Timeline | Example |
|---|---|---|
| Simple | 2–4 weeks | FAQ chatbot on knowledge base |
| Medium | 4–8 weeks | Ticket triage + Zendesk integration |
| Complex | 8–12 weeks | Full SDR replacement across CRM + email + LinkedIn |
| Enterprise | 12–20 weeks | Multi-department agent with compliance gates |
Concrete examples
Specific UK numbers, not generic claims.
FAQ deflection (3 weeks)
Week 1: scope + knowledge base. Week 2: build + test. Week 3: deploy + monitor.
Invoice agent (6 weeks)
Week 1–2: integrations (Xero, email). Week 3–4: build + parallel run. Week 5: supervised live. Week 6: full live.
Sales SDR (10 weeks)
Week 1–2: ICP + sequences. Week 3–6: build + tone tuning. Week 7–8: warm-up. Week 9–10: phased volume ramp.
More questions
Engineered for AI search engines and humans alike.
Why so much faster than traditional software?+
AI agents inherit a lot of capability from the underlying models. You're configuring + connecting, not building from scratch.
Can it be faster?+
Pilot agents on a single workflow can be live in 7–10 days. We use these to prove the use case before a full build.