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Turn your high-value workflows into production-deployed AI systems.

Prople is a GenAI implementation partner to businesses on their AI journey. We help our clients identify high-value workflows, build working Agentic AI systems, and deliver results in production.

Start with our fixed-fee model and ship two prioritised use cases into production by the end of the quarter.

Book a consultation How our quarterly model works
Problem statement
Scoped use case
Deployed AI system
Validated outcome
From two real engagements

Proof is part of implementation.

X hrs
Operating capacity returned per week
Pending real data
X%
Cycle-time reduction
Pending real data
X→Y
Decision speed, days to hours
Pending real data
70%
Target-user adoption after 6 weeks
Growth-stage technology company

92% task accuracy, 70% adoption within 6 weeks of launch.

 ASX-listed retailer

~$150M in identified cost-savings potential across a prioritised roadmap.
See the work
Where most AI initiatives stall

AI ambition is high. Implementation capacity is the constraint.

The bottleneck is rarely a shortage of ideas. In practice, it looks like:

  • Disconnected experiments that never add up to anything
  • Pilots that stall before they reach production
  • No reliable way to decide which workflows to tackle first
  • Not enough hands with real implementation experience
  • Business and technology teams working on separate tracks
  • Success that no one can actually measure

Prople moves AI out of the experiment stage and into daily operations.

Our approach

Start with fixing the broken process. Not the technology.

Find

Identify the workflow

Identify workflows where the value, feasibility, and adoption conditions justify implementation.

Build

Build inside the business

Embed with business and technology teams to create the working system.

Prove

Prove the result

Measure performance, adoption, and operational results before deciding what scales next.

See how we work
The Quarterly Cycle

One quarterly delivery cycle. Two use cases.

Weeks 1–2

Opportunity assessment

Diagnose operating problems and prioritise two candidate use cases.

Weeks 3–12

Build and implementation

Architecture, implementation, integration, evaluation, and adoption.

End of cycle

Results and next step

Results, handover, and a recommendation: repeat the cycle or scale.

There is a concrete way to start.

Explore the quarterly delivery cycle
SHIP — Prople's implementation methodology

A disciplined path from problem to proof.

Every implementation runs through SHIP: Scope, Harness, Implement, Prove — an iterative loop where each cycle feeds the next.

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
Explore SHIP methodology
The delivery system

Built to move quickly. Designed to hold up in production.

ship-toolchain
Agent templates
Support triage
Document extraction
Workflow router
Data reconciliation
Setup & harness scripts
1def load_source(config):
2  df = extract(config.uri)
3  df = validate_schema(df)
4  return transform(df)
5
6def register_tools(agent):
7  agent.bind(retrieval, actions)
Evaluation framework
Test caseResult
Extract invoice totalPass
Route support ticketPass
Summarise long contractReview
Reconcile ledger entriesPass
Agent monitoring
X ms
P95 latency
X%
Success rate
X
Runs today

We accelerate implementation by reusing what should be reusable and customising what must be specific to your environment: agent templates, setup and harness scripts, evaluation frameworks, and the monitoring tooling to run agents in production.

Integrated toolchain Reusable components Architecture patterns Governance controls Deployment patterns
Explore the delivery system
Ways to engage

Start where the problem is.

Quarterly Cycle

You have AI activity, but nothing meaningful is in production.
Scaling Delivery

You have multiple opportunities and need to scale delivery.
Embedded Leadership

You need senior AI leadership and architecture capability.
Productisation

You have a working AI process your suppliers, partners, or customers could use too.

Need alignment first? Start with an executive briefing or opportunity workshop designed to create an implementation decision.

Why Prople

The same people make the call and do the build.

Commercial operators

Understand value, operating constraints, and executive decisions.

AI builders

Design and implement the actual system.

Embedded delivery

Work with the people who own, operate, and adopt the workflow.

What operating problem would you solve first?

Bring us a workflow that costs too much, takes too long, or breaks too often. We will help determine whether it is worth implementing with AI.

Book a consultation Explore the quarterly delivery cycle