At the desk
The work still needs doing, so people use general AI tools for research, analysis and drafting. Prompting, evidence handling and checking vary by person, even while the organisation says AI is too risky for consequential commercial work.
Make agentic AI workfor complex bids and tenders.
I help commercial leaders shape the strategy and roadmap, prioritise the right use cases and work with IT on governed pilots that teams can adopt.
Ignis helps commercial leaders turn AI ambition into governed capability.
From strategy and roadmap to use-case definition, workflow design and support through the build, grounded in your data, governance, systems and operating context.
AI roulette
Your organisation may be using AI. That does not mean it has adopted it.
AI tools are spreading faster than organisations are redesigning the work around them. People experiment at their desks. Corporate pilots demonstrate the technology. But the underlying workflow, evidence and decision rights often remain unchanged.
At programme level
Central teams launch copilots and pilots. They demonstrate what the technology can produce, but without a commercial workflow owner and clear operating requirements they struggle to become something the business can trust and adopt.
Plenty of AI activity. Limited commercial impact. That is AI roulette: experimentation without a commercially grounded design.
Enterprise research shows the same pilot-to-impact gap. McKinsey reports that most organisations have not embedded AI deeply enough into workflows to create material enterprise value. In ISG's study of 1,200 AI use cases, 31% had reached full production. OECD research identifies low AI maturity in procurement alongside the need for domain knowledge, data governance and collaboration.
Where adoption gets stuck
The business knows the work. IT knows the technology. The use case can still get lost between them.
Ignis manages the interface between commercial expertise and technical delivery.
The commercial function
Your team knows where time disappears, where judgement matters and where evidence breaks down. But live bids and tenders leave little capacity to redesign the work or translate it into an AI brief.
IT and transformation
Your technology team can assess platforms, architecture and security. But without the operating context, even capable technology can optimise the wrong task or reproduce a broken process.
Ignis connects the two: operational reality translated into a valuable, governed and buildable use case.
How Ignis helps
Three engagements. One practical route from AI ambition to adoption.
Start where the organisation is stuck. Each engagement produces a decision or working artefact that the business and technology team can use.
AI strategy and use-case roadmap
Understand how the commercial work really happens. Identify where agentic AI could create value, where it should not be used and which opportunity is worth pursuing first.
What you receive Current-state evidence, a commercially grounded AI strategy, a prioritised use-case portfolio, a recommended first workflow and an adoption roadmap.
Workflow and pilot design
Turn the selected use case into a governed design. Define what agents may do, what people must decide, which information can be trusted and where checks, approvals and exceptions belong.
What you receive A target workflow, human-agent responsibility model, information and control requirements, success measures, evaluation plan and a build-ready pilot brief.
Commercial design authority
Keep the business requirement intact while an internal team or technology partner builds and tests the pilot. Challenge technical over-design, resolve workflow questions and judge the capability against real commercial work.
What you receive Independent design oversight, decision support, pilot evaluation, remediation priorities and a recommendation to stop, refine, adopt or expand.
Built around your delivery route. Ignis can work alongside your internal team or chosen technology partner. A direct technical build, where appropriate, is scoped separately rather than assumed.
Start a conversation17 years in complex bids and tenders
Energy · Infrastructure · Industrial
RWE
Capabilities
Commercially grounded strategy, use cases, workflow design and delivery support for agentic AI on the bid and tender desk.
- Agentic AI strategy & roadmap
- Prioritised bid use cases
- Governed workflow design
- Build-ready pilot brief
- Design authority through delivery
Tender
Buy well.
Create clearer comparisons and defensible awards without adding weight to the team.
View more- Agentic AI strategy & roadmap
- Prioritised tender use cases
- Governed workflow design
- Build-ready pilot brief
- Design authority through delivery
Brochure
How do you move agentic AI
from experiment to commercial use?
A practical guide to choosing the right use case, designing the workflow and keeping people in control.
Read the guideWhat good looks like
Bid
More viable pursuits. More time where the bid is won.
Coordination and production no longer consume every hour. Senior people stay closer to the client, the solution and the commercial strategy.
Explore the outcomeTender
More projects moving. Better decisions through close.
Requirements, clarifications, evaluation reasoning and negotiated commitments stay connected through diligence, financial close and mobilisation.
Explore the outcomeWhy Ignis
Commercial leadership first. AI only with judgement.
17 years on both sides of complex bids and tenders, 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 agents on the work.
What changes, what stays human and how to begin without betting the desk.
What does Ignis Leadership do?
Ignis helps commercial leaders make agentic AI useful on complex bids and tenders. We translate business priorities into an AI strategy, prioritised use-case roadmap, governed workflow and build-ready pilot brief, then stay involved as commercial design authority while IT or a technology partner builds and tests it.
What is a governed agentic workflow?
A governed agentic workflow gives AI agents defined work within a commercial process. They use approved evidence, operate within explicit boundaries and bring decisions or exceptions to named people. Accountability for strategy, price, risk, commitments and approval stays human.
How is this different from using ChatGPT or Microsoft Copilot?
ChatGPT and Copilot help individuals perform tasks. A governed agentic workflow connects tasks across a shared process, uses agreed evidence, follows decision rights and leaves an auditable record. The aim is an organisational capability, not better prompting by a few people.
Where should a bid or tender team start with agentic AI?
Start with the business problem, not the platform. Identify where capacity, evidence or control breaks in a live or recent bid or tender. Compare candidate use cases for value, feasibility and risk, then design one bounded pilot with clear success measures before committing to a larger build.
Does Ignis build the technology?
Ignis defines the commercial requirement and stays involved as design authority through delivery. We can work alongside your internal technology team or chosen delivery partner so the build remains anchored to the use case, workflow and controls. Where a direct technical build is appropriate, it is scoped separately rather than assumed.
Do you need to choose a platform or clean all your data first?
No. Start by defining the business problem and the evidence one useful workflow actually needs. The pilot design then shows what information, integrations and controls are required, and whether existing tools can support them. That avoids buying technology or launching a data programme before the use case is clear.
Start here
Where does it hurt this quarter?
One conversation. We identify the business problem, define the right use case and agree the practical next step.
Start a conversation
Ignis