Most businesses considering AI have the same question: what would it actually look like if we tried this? Here is a concrete walkthrough of how a controlled AI workflow pilot works, from initial scoping to the 30-day review.
Phase 1: Scoping (Days 1-3)
The pilot starts with identifying the right workflow. This is not a brainstorming session about all the things AI could theoretically do. It is a focused conversation about which specific process is consuming the most time relative to its complexity.
Good candidates for a first pilot include intake triage (classifying and routing incoming enquiries or documents), email categorisation and draft responses, internal knowledge queries (answering staff questions from approved document sets), and meeting summary extraction.
During scoping, the following questions are answered.
- What is the current process, step by step?
- How many times per week does this process occur?
- How long does it take each time?
- What data does the process involve, and where does that data live?
- Who are the users, and how many will be in the pilot group?
- What does success look like? (Specific, measurable criteria.)
The output of scoping is a one-page pilot brief that both sides sign off on. It defines exactly what will be built, what it will access, who will use it, and how it will be measured.
Phase 2: Build (Days 4-14)
The build phase involves configuring the AI system for the agreed workflow. This is not a generic chatbot. It is a purpose-built workflow that handles specific inputs, processes them according to defined rules, and produces structured outputs for human review.
During build, several components are configured.
- The AI model and prompts, tuned for the specific task and your company's terminology.
- Data source connections, linking the system to the relevant email inbox, SharePoint library, or other approved data source.
- Approval gates, defining which actions require human sign-off before proceeding.
- Audit logging, recording every interaction, data access, and approval decision.
- User interface, typically integrated into Slack or Microsoft Teams so staff access the system where they already work.
The build is tested against real scenarios from your business before going live. Edge cases are identified and handled. The system is not released until it performs reliably on representative examples.
Phase 3: Deploy and onboard (Days 15-17)
Deployment means the pilot group starts using the system in their daily work. Before that happens, the pilot users receive a hands-on briefing that covers how to use the workflow, what to expect from the AI output, how the approval process works, and who to contact if something does not look right.
The first few days of live operation are closely monitored. Output quality is checked. User feedback is collected. Adjustments are made quickly. This is not a "set it and forget it" deployment.
Phase 4: Live operation and tuning (Days 18-45)
For approximately 30 days, the workflow runs in production. During this period, usage data is collected, output quality is tracked, and the system is tuned based on real-world performance. Common adjustments include refining categorisation rules, improving draft quality for specific document types, and adjusting approval thresholds.
Weekly check-ins review how the pilot is performing against the success criteria defined during scoping. If something is not working, it is adjusted. If a fundamental issue is discovered, the scope can be narrowed rather than abandoned.
Phase 5: Review and decision (Day 45+)
At the end of the pilot period, a formal review assesses the results. This covers measurable outcomes (time saved, volume handled, error rates), user feedback, governance and compliance observations, and a recommendation on whether to continue, expand, or adjust.
The pilot is designed to give your business a defensible basis for deciding whether to invest further in AI. If it works, you have the evidence. If it does not, you have spent a contained amount of time and budget finding that out.
Common concerns addressed
- "What does it cost?" A Controlled Workflow Pilot starts from GBP 5,900 setup plus a monthly retainer. It is a defined investment with measurable outcomes.
- "How much of our time does it take?" The main time commitment from your business is during scoping (2-3 hours) and the initial briefing (1 hour). The build, deployment, and monitoring are handled externally.
- "Will it interfere with our existing processes?" The pilot runs alongside your existing process, not instead of it. Staff use both during the pilot period, so there is no risk of interference if the pilot needs adjustment.
Evoloop runs controlled AI workflow pilots for businesses across all sectors. One workflow, governed from day one, designed to prove value within 30 days.
Ready to explore AI for your business?
Three ways to get started:
- Book a Workflow Review - 30-minute assessment of where AI fits your practice
- Apply for the Founding Client Programme - reduced-price pilot for 2 firms
- See the AI Readiness Audit - structured discovery and roadmap