Tender Office and AI: what's left to decide?

Every tender office is asking the same question. If AI reads the tender, checks the requirements against the portfolio, analyses past awards and drafts a first response, what changes for us? The short answer is that judgement matters more than ever. The long answer is about how the work itself changes, stage by stage.

Finding, reading and processing information has long taken up a large part of a tender office's day. Notices spread across different portals, tender documents running to hundreds of pages, procedures with dozens of lots.

AI can now take on a growing share of this work. Monitoring, requirement extraction, portfolio matching, analysis of past awards, risk identification and initial assessments: tasks that used to take a long time can now be done far more quickly.

AI does more than collect and summarise information. It can connect it, compare alternatives and build an initial reading of the opportunity.

That frees up time for the core of the job: weighing these insights against the company's context, interpreting the exceptions and making the call. This is precisely the capability that AI makes more valuable.

On the supplier side, a tender typically moves through five stages. In each one, AI can analyse information, compare alternatives and produce an initial assessment, bringing to the fore the choices in which the tender office plays a key role.

Identifying

This is where the difference from traditional tender alerts is most significant.

A tender alert filters new notices by keywords, CPV codes or predefined categories and returns a list of potentially relevant procedures. Working out whether a tender really matters, and above all which lots do, is still largely left to the tender office.

AI-based monitoring goes a step further. Rather than simply looking for a match, it analyses the context of the tender and can link the subject matter, lots, specifications, technical requirements and the company's portfolio.

The result is not just a shorter list of alerts, but a set of opportunities that are already contextualised and prioritised.

The tender office therefore starts from a more qualified picture and can focus on defining and refining what makes an opportunity truly relevant to the company: portfolio, market, customer, value and commercial priorities.

Qualifying

AI can compare the technical specifications of each lot with the portfolio, identify capability requirements, flag incompatibilities and build an initial assessment of whether to bid.

The decision, however, also draws on factors that are not necessarily found in the tender documents: commercial priorities, product availability, production capacity, margins and the relationship with the customer.

The tender office therefore helps turn the assessment of the tender into a well-founded go/no-go proposal, on which Sales and the other functions involved can decide.

Interpreting

Tender documents, technical specifications, clarification requests and corrigenda. AI reads and connects long documents, reconstructs obligations and deadlines, highlights inconsistencies and can rank risk areas.

It does not just point to where to look: it can offer an initial view of why a requirement or clause deserves attention.

This is where company context comes in. Is a requirement genuinely restrictive for our portfolio? Does a clause change the risk profile? Should we request clarification?

The tender office brings these questions to the right people and helps build an interpretation that fits both the tender and the company's interests.

Positioning

Award history, prices, competitors and reserve prices. Market analysis that once required a long process of gathering and piecing together data can now be obtained much faster.

AI can connect this information, identify patterns, compare scenarios and support decisions on commercial positioning.

Sales and Pricing can therefore start from options already backed by data. How have competitors behaved? At what prices were similar procedures awarded? How much weight does the technical component carry compared with price? How does the picture change as the price varies?

Commercial strategy stays with the functions responsible for it. What changes is the quality of the information they use to shape it.

Responding

Administrative documentation, technical bid and financial bid. Here too, the work is shared across different functions.

AI can retrieve content already available within the company, map it to the tender requirements, prepare documents and produce first drafts based on the required criteria.

The content of the bid, however, remains the responsibility of the relevant functions: typically Sales for the commercial component and the tender office for the technical one.

The tender office's role is to hold the process together: turning the procedure's requirements into tasks, involving the right people, keeping track of deadlines and checking that everything produced is complete and consistent with what the contracting authority has asked for.

AI reduces the effort needed to keep these steps running and makes it easier to spot omissions, inconsistencies and open points early.

The tender office is typically the link between Sales, marketing, supply chain and legal.

Is the lot compatible with our portfolio? Can we guarantee the required volumes for the full duration of the framework agreement? Is the price sustainable? Does a clause change the risk profile? Does the technical solution meet the requirements exactly?

A single tender can therefore trigger a chain of decisions spread across different functions. Sales assesses the commercial interest; the technical team reviews the proposed solution; Pricing or Finance assess its financial sustainability; regulatory affairs and legal step in on their respective areas. The tender office brings together contributions, constraints and deadlines.

Handovers are often where friction arises: a price is updated while the technical bid is already under review, a requirement changes after a clarification, a document arrives when the response is almost closed.

With AI, each function can approach these decisions starting not only from information that is already organised, but also from comparisons, alerts and initial assessments already in place.

This speeds up the move from information to decision and makes it even more important to know which function to involve, on which point and at what moment.

In this context, the ability to orchestrate the contributions of different functions becomes a strategic skill for the tender office.

Freed from a growing share of operational and analytical work, the Tender Specialist brings to every tender what it takes to turn an analysis into a decision that serves the company.

They know the company: commercial priorities, product portfolio, internal processes and constraints. This knowledge is what allows them to tell when an AI-generated assessment is enough and when something important is missing.

They know the market: contracting authorities, how they structure their tenders, the competitive dynamics and the context in which the company competes.

They know the tender process: which requirements need attention, which issues need to go to another function, and which steps risk slowing down or compromising the response.

It is not necessarily the Tender Specialist who sets the price or writes the technical content of the bid. Part of their value lies in making sure that those who make those decisions have the right information when they need it.

Their role thus comes closer to that of an internal advisor, able to give the company an in-depth reading of the opportunity and to turn it into an effective decision-making process.

The tender office's judgement has always been built in the field, one tender at a time. Today there is an opportunity to develop it more deliberately.

Not least because some of the activities through which experience used to be built (reading documents, comparing requirements, piecing together historical data) are being progressively accelerated by AI.

Some levers are concrete. Ask the team to explain the reasoning behind every go/no-go proposal. Compare AI-generated insights with those of the team. Discuss cases where a seemingly sound assessment overlooks something specific to the company.

And involve less experienced team members in conversations with other functions, because that is where orchestration is learnt: not just how to read a tender, but how a piece of information becomes a commercial, technical or financial decision.

Onboarding changes too. Teaching people to use a tool is not enough. It takes real cases, operational guidelines and clear boundaries between what AI can prepare, what needs to be checked and what requires input from a specific function.

It is an approach FBK has already seen in practice. In a project with a top-ten global medical technology company, the adoption process involved a cross-functional group made up of the tender office, Sales, Market Access and IT. The technology was assessed not as an isolated feature, but in terms of how it fitted into existing workflows and supported decisions and handovers between functions.

In this sense, a platform like FBK is not the end point, but the context in which the team puts its judgement into practice, starting from increasingly complete analyses.

The criteria for assessing the work also broaden. Alongside the number of tenders handled, what counts is the soundness of the assessments provided to the company, the ability to anticipate risks and issues, and how effectively the different functions involved are coordinated.

AI makes the tender office faster, but the more important change lies elsewhere.

It does more than cut the time needed to search for and process information. It can compare and connect that information, and turn it into initial assessments and recommendations.

This shifts the point at which people step in further along the process.

The tender office spends less time rebuilding the picture and more time understanding what that picture means for the company, which functions need to be involved and which decisions need to be made.

For those who lead and those who work on tenders, the question then becomes how to use this capability. The best answers come from knowledge of the company, dialogue between functions and judgement that can hold its own against increasingly advanced analysis.

Discover how FBK supports the tender office at every stage: finding opportunities, managing the response process and analysing the market.