Choose the service that matches your challenge. Start anywhere.
Proving Grounds
Know which ideas are worth building, before serious budget is committed. Validates four product risks: Desirability, Viability, Feasibility, and Usability.
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Sprint 1 — Problem framing On-site, remote, or hybrid
Stakeholder interviews, workflow mapping, Lean Canvas
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Sprint 2 — First AI prototype
Working software deployed and reviewed internally. Not a mockup, a real tool.
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Sprint 3 — User testing
Real users interact with the AI. We observe trust, adoption, and workflow fit.
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Sprint 4 — Decision sprint
Evidence-based go/no-go recommendation. Proceed or pivot.
Fixed-price. Know the cost upfront, get a clear decision at the end.
Start with Proving Grounds →
Build
Proving Grounds gave you a validated concept and a go decision. Build is what comes next. We embed, build iteratively, and ship thin slices of value continuously.
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Production Pilot
Take the validated prototype into a real environment with real users and real data. Evidence, not assumptions.
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Minimum Loveable Product
Ship the product your users will actually adopt. Built on your stack — AWS, Azure, GCP, Power Platform, or custom.
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Launch & Handover
Production deployment, monitoring, and clean handover to your ops team — or we stay on in a steady-state support role.
Time & materials with monthly checkpoints. Scale up or down as evidence dictates.
Start Building →
Product Portfolio Management
AI initiatives multiply fast. Budgets don't. Delivr works with CDOs and digital leaders to bring discipline to AI investment decisions — which bets to back, cut, and sequence.
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Portfolio Visibility
Map every active AI initiative: investment, strategic alignment, maturity, and expected value.
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Prioritisation & Go/No-Go
Know which bets to back and which to kill, with the evidence your governance process needs.
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Resource Allocation
Stop funding by inertia. Start sequencing by impact.
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Quarterly Cadence & Reviews
Track value realisation and keep executives informed with the right metrics — not activity reports.
Structured engagement or ongoing advisory retainer.
Discuss Your Portfolio →
AI Strategy & Operating Model
Most AI strategies sit in a deck. Ours gets built into how your organisation actually runs. Every enterprise transformation pairs a technology shift with a way of working. AI brings agents and product thinking.
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Define the vision to win
Where do agents and AI tooling change how your business operates? Not a list of use cases — a clear direction.
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Design the product operating model
The way of working that lets your teams discover, build, and scale AI products — not just manage projects.
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Embed the agent architecture
Map where agents sit across your value chain, how they're governed, and how humans and agents work together.
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Sequence and activate
Prioritised roadmap, quick wins identified, executive alignment. A plan your teams can execute.
Structured engagement or ongoing advisory retainer.
Build Your AI Strategy →
