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.
Move more projectsthrough your pipeline.
Ignis builds tailored, governed AI workflows that work alongside renewable developer and IPP teams, from early-stage development to financial close.
Ignis builds commercial AI around the work that moves projects.
When project evidence and decisions are scattered, gaps surface late and the same few people become the bottleneck.
Ignis brings your documents and commitments into a governed record, then builds AI workflows around your rules, from early-stage development to financial close.
Your team can spot costly gaps sooner and move more projects through the pipeline, with a system built for your business to own, not locked to one supplier’s platform.
Wind
Solar
Storage
Grid
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.
Move more projects with
Ignis brings process, context, data, governance and workflows together.
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
Two workstreams. One shared foundation.
Governed AI supports the gathering and checking. Your people remain accountable for the commercial decisions.
Move more projects, faster
Bring supplier returns, contracts, interface questions and lender evidence into a governed workflow.
AI helps compare, check and prepare.
Your team decides awards, risk and FID.
Secure your route to market
Connect auction and tender requirements, approved evidence and offtake terms.
AI helps prepare and check the work.
Your team owns strategy, pricing and commitments.
Keep stakeholders and commitments on track
Keep landowners, communities, grid teams, suppliers, offtakers and lenders connected to the decisions and promises that affect each project.
AI can surface gaps and open points.
Your people own the relationships and commitments.
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 we build it
Start with the work. Build the system around it.
One shared foundation can support the project workflows that matter most. The exact design starts with your team, your information and your rules.
Move projects towards financial close
Secure your route to market
Built from the bottom up
01
Process
How your team wins, closes and hands work over.
Playbooks · decisions · handovers
02
Context
The project, market and lessons behind the work.
Market rules · lender needs · lessons
03
Data
Evidence connected, approved and versioned.
Project files · source links · versions
04
Governance
Your rules, set before AI runs.
Access · human sign-off · audit trail
05
Workflows
The tasks that move projects forward.
Cited drafts · checks · registers
Built to work with the tools, documents and project spaces you already use. Your knowledge and rules remain yours.
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 does Ignis actually build?
Tailored, governed AI workflows around the work that moves renewable projects. A first build could help a team prepare source-linked lender evidence, track procurement questions or keep commitments visible across an auction. The aim is a repeatable capability your team can use and own.
Where should we start on a live project?
Start where pressure is real: an upcoming auction, a project moving through procurement or evidence needed for financial close. Map the work, information and decisions involved, then choose one bounded activity to improve and test.
Do we need a new platform or perfect data first?
No. Start with one useful workflow and the evidence it needs. That shows which sources need improving, what controls matter and where your existing tools can be used before adding technology.
Who builds the system, and who owns it?
Ignis can build a working pilot alongside your team, or guide your internal team or technology partner through the build. Your organisation retains its knowledge, rules and decision rights. We agree the scope, access and ownership before building; a full enterprise platform is a separate decision.
Can AI help us change what we own or operate?
Potentially. For an IPP moving from develop-and-sell to build-and-operate, AI could support new workflows or services. First test the value, economics, capability and risk of the model. AI is an enabler, not the reason to change it.
What stays human?
Commercial judgement, customer commitments, risk decisions and exceptions remain human-owned. AI supports defined tasks with clear evidence, checks and escalation points.
What will the AI Score tell us?
Your answers give an instant view of current AI use, gaps in workflow, data and governance, and one capability to consider building next. You can request a personalised two-page brief by email. It is a self-assessment, not an independent audit or external benchmark.
Turn AI ambition into
commercial advantage.
Start a conversation 
Ignis