Make space for better deals.Not more tender admin.

People create the value: shaping the market, challenging assumptions and working with suppliers. AI agents carry coordination and production so more projects move towards a confident close.

Stop carrying every tender by hand.

Today, people carry the packs, comparisons and decision history of every tender. Valuable time disappears into chasing inputs, rebuilding analysis and holding the process together.

With agentic AI, the system carries that baseline work, with evidence, controls and human decisions built in. People get back to supplier relationships, challenge and commercial judgement that help them buy well.

More projects moving forward.

A lean team can progress more tenders across the project pipeline without giving up control or decision quality.

More competition in the process.

The team has more time to engage suppliers, strengthen participation and keep credible alternatives alive.

More value in the room.

Commercial and technical leaders can challenge assumptions, explore innovation and work with suppliers on more cost-effective solutions.

One commercial thread through close.

Requirements, clarifications, evaluation reasoning and negotiated commitments remain connected through diligence, financial close and mobilisation.

Award is not the end
of the story.

Each stage has two sides: the commercial value only people can create, and the baseline work a governed agentic system can carry. The thread continues through diligence, financial close and mobilisation.

A continuous tender thread passing through six commercial checkpoints
01

Prepare

The team has time to shape the market, bring the right suppliers in and build a package that creates meaningful competition, rather than simply getting the documents issued.

Where agentic AI helps

  • Structure requirements and package
  • Control sourcing governance
  • Set the evaluation method and roles
  • Coordinate the bidder plan
02

Appraise

Specialists investigate the exceptions, qualifications and risks that could change the deal. Their time goes into material judgement, not re-keying supplier returns.

Where agentic AI helps

  • Map supplier returns
  • Check completeness and compliance
  • Log exceptions and qualifications
  • Track missing evidence
03

Clarify

The team can have better supplier conversations: testing assumptions, protecting competition and resolving the issues that affect value, risk and deliverability.

Where agentic AI helps

  • Maintain questions and actions
  • Coordinate internal inputs
  • Prepare responses and addenda
  • Control the change history
04

Evaluate

Decision makers spend their time debating risk, value, innovation and commercial trade-offs. They challenge the recommendation and retain authority over the outcome.

Where agentic AI helps

  • Normalise offers
  • Support consistent scoring
  • Compare assumptions, risks and value
  • Maintain the recommendation trail
05

Close

Commercial leaders focus on the negotiation, residual risk and the route to contract and financial close without losing the decisions that shaped the preferred offer.

Where agentic AI helps

  • Track diligence and open issues
  • Maintain negotiation positions
  • Coordinate approvals and conditions
  • Track contract and close actions
06

Mobilise &
handover

Delivery inherits the deal, not a folder. The receiving team understands the relationships, commitments and reasoning behind what was agreed.

Where agentic AI helps

  • Record accepted qualifications
  • Assign residual risks and owners
  • Maintain decision rationale
  • Prepare the mobilisation pack

Every package strengthens the next.

Supplier intelligence, evaluation reasoning and negotiated commitments remain available from preparation through mobilisation.

AI cannot fix a tender
nobody runs the same way.

If the requirements keep moving, the evidence is fragmented and decision rights are unclear, agents will reproduce that inconsistency faster. We make the commercial system explicit before asking AI to carry more of the work.

Process

Stages, ownership, handoffs and the route from package strategy to mobilisation.

Knowledge

Requirements, returns, clarifications, evidence, commitments and decision history.

Controls

Human authority for market communications, evaluation, negotiation and award.

People

Supplier relationships, judgement, risk, negotiation and final decisions stay human.

Agents

Bounded work on extraction, reconciliation, coordination, comparison and continuity.

Your tender desk first.
The technology second.

I bring 17 years across energy, infrastructure, EPC and complex international transactions, working on both sides of bids and tenders. Tendering is not a document exercise. It is a chain of commercial decisions that must survive scrutiny and then survive the move into delivery. The route is the same as the wider Ignis approach: map the work, design the model and support delivery.

01

Map

See how packages, information and decisions move today.

02

Design

Define the right division of work between people and agents.

03

Support delivery

Support the workflow, evidence trail and human gates through build and test.

04

Embed

Put ownership, documentation and controls with the team.

05

Adopt

Help people use, challenge and improve the system.

We map where capacity or control breaks, design a bounded capability around the real work and support delivery with the team. The next move is guided by evidence, not a fixed rollout plan.

Tender is a specialist application of Commercial AI adoption.

Explore the broader commercial workflow, then use the tender desk where the pressure and opportunity are most immediate.

See services

Where does the tender
lose its thread?

Bring one live or recent package. We will find where capacity, control or commercial continuity breaks, then decide whether one governed capability is worth proving.

Start the conversation

Got a project heading for financial close?

Let’s map where your commercial flow slows down, and what Ignis would change.

Get in touch