Same team. Bigger remit.
A growing pipeline can stall when the same few people are covering more auctions, procurement and financial closes. For teams moving from develop-and-sell to build-and-operate, delivery and operations widen the remit again.
Commercial AI for developers and IPPs
Win the round.Reach financial close.
I help growth-stage developers move more projects through auctions, procurement and financial close, with the team they already have, using governed AI they own.
For founders and CEOs of fund-backed, growth-stage developers and IPPs:
Onshore renewables (solar/wind and storage), offshore wind across the UK, Ireland and western Europe.
The pressure
The deadline is fixed. The work keeps growing.
Evidence in too many places.
Local-content, supply-chain and lender evidence sits in folders and people’s heads. Finding and checking it takes time away from decisions.
AI, but no shared workflow.
ChatGPT and Copilot help individuals, yet the work still needs agreed sources, checks and human sign-off.
The answer is a better way to run the work, not more effort from the same team.
Where to start
What is changing for your team?
A major auction or tender is coming.
The pipeline has outgrown the team.
A project is heading for financial close.
Moving from develop-and-sell to build-and-operate.
The board needs an AI plan.
17 years in complex commercial work
Energy · Infrastructure · Industrial
RWE
What Ignis builds
Three workflows, built around the dates that matter.
Governed AI supports the gathering and checking. Your people remain accountable for the commercial decisions.
Procurement to financial close
AI can compare returns, track commitments and prepare cited answers. Your team decides awards, negotiation, risk and FID.
Move a lead project towards close without every contract, interface and lender question landing on the same few people.
Keep open points, owners and evidence visible so the team can focus on negotiation and the decisions that unlock progress.
Auction and tender response
AI can map requirements, draft from approved evidence and check consistency. Your team owns strategy, price, sign-off and submission.
Get a complete, defensible bid pack ready before the deadline.
Keep approved evidence and response changes connected, so scarce expert time goes into the offer, its risks and the final submission, rather than rebuilding familiar answers.
Bankability and local-content evidence
AI can assemble source-linked packs and flag gaps. Your team owns supply-chain commitments and claims made to lenders.
Make the non-price case easier to evidence and scrutinise.
Keep the sources behind local-content and bankability claims visible, so gaps can be resolved before they become bid, investment or lender questions.
Built on a foundation you own.
Approved evidence, access boundaries, an audit trail and clear human sign-off points can be reused as each workflow is designed and delivered.
How Ignis helps
A practical route from commercial insight to AI-enabled delivery.
Map
the opportunity
Map the work, data, governance, systems and decision rights. Identify the priority opportunities, then leave with a commercially grounded AI strategy and roadmap.
Design
the model
Turn the priority into a governed model: the proposition, workflow, evidence, human responsibilities, data, controls and a build-ready pilot brief.
Build
and embed
Build a working pilot with your team, or guide your internal team or technology partner through the build. Test it against the commercial need, refine the controls and embed the workflow in daily work.
Two directions
Strengthen the work. Rethink the model.
Commercial AI adoptionWin work.
Commercial transformationRethink the
Win work.
Deliver work.
Design governed AI around the auctions, procurement, evidence and decisions that move projects towards financial close.
Give the same team a more repeatable way to carry projects forward.
Explore adoptionRethink the
business model.
Test where AI could support a move from develop-and-sell to build-and-operate, or make new services and revenue models viable.
Start with the commercial case and operating obligations, not the technology.
Explore transformationGuide
A practical guide to governed AI
for bids and tenders.
Choose a useful commercial workflow, design the human-agent system and keep people accountable.
Read the guideWhy Ignis
Commercial leadership first. AI only with judgement.
17 years working across complex commercial work, from project engineer to Bid Director, including bp, RWE and Bouygues.
Technology should strengthen commercial judgement, not replace the name on the commitment.About Yorik
Questions leaders ask
Before you put AI on the work.
What is Commercial AI adoption?
It is the work of redesigning an existing commercial process as a governed human-agent system, with clear evidence, responsibilities and decision rights.
What is Commercial transformation?
It tests what the business might own, operate or offer, and whether AI could help make that model viable. AI does not replace the commercial case.
How do we know whether a new model or offer is viable?
Test the value, your right to play, operating responsibilities, economics and route to market before committing to a build.
Do we need to choose a platform or clean all our data first?
No. Start with the commercial problem and the evidence one useful pilot needs. That exposes the information, integrations and controls that matter.
Does Ignis build the technology?
Ignis can build a working pilot with your team, or guide your internal team or technology partner through the build. We agree the scope, ownership and controls first; a full enterprise platform is a separate decision.
Where should we start?
Start with a live pressure: an upcoming auction, a project moving through procurement or evidence needed for financial close. Map the commercial value, information and decisions involved, then choose one bounded next move.
Can we use our existing technology?
Usually, yes. The work starts with the information and systems you already have, replacing or adding technology only where the evidence requires it.
What stays human?
Commercial judgement, customer commitments, risk decisions and exceptions remain human-owned. Agents support defined tasks with clear evidence and escalation points.
Turn AI ambition into
commercial advantage.
Start a conversation 
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