- Bid management audit
- Human–AI process redesign
- Governed workflow design
- Operating model embed
- Team adoption
Stop playingAI roulette
Agentic AI consultancy for bids and tenders, providing the process, tools and governance that free the team to strengthen relationships, strategy and the commercial position.
Ignis helps ambitious commercial leaders ignite governed agentic systems on the bid and tender desk, so lean teams bid more, buy better and stay in control.
Approach
AI roulette starts when a chatbox becomes the process. People prompt in isolation, use different context and judge outputs differently. The work may be faster, but it stays inconsistent, hard to verify and impossible to scale.
We make the process, evidence, decisions and ownership explicit first. That structure then runs as a governed agentic system across the bid and tender lifecycle.
Start with one bounded capability on live work. Keep and connect only what proves useful.
Learn moreBrochure
How do you govern AI
in bids and tenders?
Give agents approved evidence, bounded tasks and explicit controls. Keep named people responsible for strategy, evaluation, price, risk and final approval. The brochure shows how those parts work together.
Download the brochure17 years’ experience gained at
Energy · Infrastructure · Industrial
RWE
Capabilities
Partnering with bid and procurement teams to turn high-pressure work into repeatable capabilities that start small and scale.
Tender
Buy well.
Create clearer comparisons and defensible awards without adding weight to the team.
View more- Tender management audit
- Human–AI process redesign
- Governed workflow design
- Operating model embed
- Team adoption
Engagement
Where should a bid or tender team start with agentic AI?
Start with one pressure point in live work. Audit the process and controls, prove one bounded capability, then scale only what the evidence supports.
Audit
Map the process, documents, decisions and controls. Separate the work that needs human judgement from the grind agents can take on.
Pilot
Build one governed human-agent capability around your process, evidence and controls. Install it with the team as the first module of a system designed to scale.
Scale
Measure what changed. Keep what works, strengthen the controls and connect the next module along the bid or tender lifecycle.
What 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, bid and procurement leaders improve how complex bids and tenders are run. We audit the work, redesign the division of work between people and AI agents, and install one governed capability on live work before scaling what proves useful.
What is a governed agentic AI system?
It is a shared operating capability in which AI agents coordinate or produce bounded work using approved knowledge, rules and controls. Named people retain judgement, commercial commitments and approval. The system keeps context, decisions and learning visible across the bid or tender lifecycle.
How is this different from using ChatGPT or Microsoft Copilot?
A chatbot helps an individual complete a task. A governed system works across a shared process. It uses agreed evidence, follows defined workflows, records what changed and brings decisions to the right people. The capability belongs to the organisation rather than remaining inside one person’s conversation.
Why is a governed agentic AI system well suited to commercial work?
Commercial teams spend much of their time preparing decisions rather than making them. Researching markets and suppliers, extracting requirements, comparing evidence, reconciling versions, producing decision packs and tracking actions all matter, but they can consume the people whose greatest value is judgement. A governed agentic system can carry this repeatable work across the process while named people retain strategy, relationships, negotiation, risk, approval and commitments. It does not replace commercial judgement. It gives people more time and better evidence to apply it.
Do we need to replace our existing tools or clean all our data first?
No. The first capability should work with the documents, cloud environment and enterprise tools the team already uses. The audit identifies missing evidence, inconsistent information and unclear ownership as part of the work. Start with the information needed for one bounded capability, not a complete transformation programme.
Where should a bid or tender team start with agentic AI?
Start with one pressure point in a live or recent bid, tender or transaction. Map where capacity, information or control breaks, select one bounded capability and agree how usefulness will be measured. Scale only if the pilot works.
Start here
Where does it hurt this quarter?
One conversation. We name the capability. We put a system on your desk you keep.
Start the conversation
Ignis