Reliable AI implementation needs a repeatable, transparent system.

Every Prople engagement runs through the same four stages: Scope, Harness, Implement, Prove. It's an iterative loop where each cycle feeds the next. This is how we reduce implementation risk without slowing down.

an iterative loop each cycle feeds the next S Scope H Harness I Implement P Prove
S H I P
Scope
Inputs
Candidate workflows, stakeholder input
Gate
Value, feasibility & risk threshold
Outputs
Prioritisation scorecard, success measures
Owner
Commercial lead & client sponsor
Risk
Solving the wrong problem
Gate passed → Harness
Harness
Inputs
Prioritisation scorecard
Gate
Architecture & evaluation plan signed off
Outputs
Architecture template, evaluation design
Owner
Senior AI architect
Risk
Building on untested assumptions
Gate passed → Implement
Implement
Inputs
Architecture & evaluation plan
Gate
Test & deployment gates passed
Outputs
Deployed system, observability
Owner
Embedded delivery team
Risk
Shipping an unreliable system
Gate passed → Prove
Prove
Inputs
Deployed system, monitoring data
Gate
Business outcome & adoption measured
Outputs
Outcome report, next-cycle decision
Owner
Client & Prople, joint review
Risk
Declaring success without evidence
Feeds next Scope
Prove feeds directly back into the next cycle's Scope, so SHIP runs as a continuous loop

Speed is backed by discipline.

SHIP is the method; the sprint is the container it runs in. Every stage produces a real artefact (a scorecard, an architecture plan, a passed gate), so progress is something you can actually see.

Prioritisation scorecard Architecture & evaluation plan Test & deployment gates Business outcome & adoption measures

SHIP, walked through on a real engagement.

Scope: first production AI system, no in-house build capability
Harness: RAG + agentic architecture, evaluated on latency, cost, security
Implement: built in Python, concept to production in 8 weeks
Prove: 92% task accuracy, 70% adoption at 6 weeks
Growth-stage technology company

The full write-up, including what changed and what happened after handover, is on Case studies.

What every SHIP cycle guarantees.

Embedded with your team

Inside the client's environment, working directly with the business and technology teams who own the workflow.

Gated by design

Every engagement runs through SHIP with real decision gates: scale, continue, or stop.

Built for handover

Systems get built for the client's own environment and handed over. That's capability your organisation keeps.

Apply SHIP to your operating problem.