Business value
What workflow will improve, which stakeholder owns it, and what measurable signal will decide whether the pilot is useful?
Pilot framework
Validate one enterprise AI use case before committing to scale
A 45-day pilot brings business, data, cloud, security, governance, and user validation into one controlled proof. It is designed to determine whether one AI workflow is valuable, feasible, governable, and ready for further investment.
Best fit
Use this when leadership has a promising AI use case but needs evidence before approving production investment.
What the pilot answers
Reduce uncertainty by testing the business workflow, data, user experience, architecture, controls, operating responsibilities, and measures together.
Data feasibility
Which documents, systems, events, images, or knowledge sources are available, classified, and suitable for AI use?
Security and governance
What controls are required for IAM/RBAC, private networking, prompt security, model governance, audit logging, and human approval?
Technical architecture
Which Azure, AWS, or GCP services are appropriate for the pilot, and what must change before production?
Operating model
Who reviews outputs, who approves risky actions, how incidents are handled, and how monitoring/cost controls are run?
Scale decision
What should be built next, what should be stopped, and what investment is required for production rollout?
45-day structure
The timeline is adapted after discovery. Complex data access, legal review, or integration constraints can extend the schedule.
1
Days 1-7: scope and readiness
Confirm use case, business metric, data access, security constraints, governance risks, and pilot acceptance criteria.
2
Days 8-21: architecture and build
Design the AI workflow, prepare the data path, configure cloud services, and build the first controlled proof.
3
Days 22-35: governance and validation
Test output quality, failure modes, access controls, human approval, logging, monitoring, and cost visibility.
4
Days 36-45: decision package
Prepare results, risks, production roadmap, budget view, backlog, and recommended next action.
Included governance controls
Responsible AI review, data classification, prompt security, hallucination risk checks, human approval design, audit trail, monitoring, and cost governance.
Typical deliverables
Pilot brief
Problem statement, user workflow, success criteria, assumptions, and constraints.
Problem statement, user workflow, success criteria, assumptions, and constraints.
Reference architecture
Secure cloud design, AI services, data flow, access model, and observability pattern.
Secure cloud design, AI services, data flow, access model, and observability pattern.
Controlled proof
A limited prototype or working demonstration using agreed sample data and governance controls.
A limited prototype or working demonstration using agreed sample data and governance controls.
Scale recommendation
Production backlog, risks, cost view, operating model, and go/no-go recommendation.
Production backlog, risks, cost view, operating model, and go/no-go recommendation.
Evidence for a clear production decision
The decision package records the observed results, quality and adoption signals, control evidence, dependencies, risks, costs, and recommended path to scale, revise, or stop.
Discuss pilot fit45-day AI pilot FAQ
A 45-day pilot can prove whether one AI workflow has usable data, acceptable accuracy, secure architecture, clear governance controls, user adoption signals, and measurable business value.
A pilot is not a full enterprise rollout. Large-scale migration, unlimited integrations, production SLA, advanced compliance certification, and multi-department change management are scoped separately.
Good fits include document intelligence, internal knowledge assistants, compliance review support, predictive maintenance signals, customer support augmentation, HR screening support, and focused operations workflows.
DigiScience uses access controls, human review, prompt and data controls, audit logging, monitoring, scope boundaries, and success criteria so the pilot remains governed and reviewable.