The verdict in three sentences
An AI for tender analysis and opportunity detection runs 20,000 to 45,000 EUR (excl. VAT) in 2026 in Amsterdam, depending on the number of monitored sources and scoring granularity. The goal isn't to read tenders for you but to filter the noise: your sales team only sees the 10 to 15% of genuinely relevant tenders, summarised and scored. Budget 3 to 5 months, since scoring quality depends on calibration against your past won/lost tenders.
What the budget covers
Price depends on the number of monitoring platforms connected (TED, national portals, private platforms, client portals), analysis depth and triggered actions.
| Tier | Scope | Sources | 2026 budget (EUR excl. VAT) | Timeline |
|---|---|---|---|---|
| Essential | Monitoring + summary + alerts | 2-3 platforms | 20,000 - 28,000 | 3 months |
| Standard | + AI scoring, business filters | 4-6 platforms | 28,000 - 36,000 | 4 months |
| Advanced | + criteria extraction, bid assist | 7+ platforms, client portals | 36,000 - 45,000 | 5 months |
| Bespoke | + CRM, reusable response base | Full ecosystem | 45,000 + | 5 months + |
Outside the project budget: analysis token cost (200 to 1,200 EUR/month by tender volume), paid platform access, maintenance (12 to 18%/year).
The real gain: relevance ratio
Without a tool, a sales team drowns in irrelevant tenders or spots the good ones too late. Scoring changes the economics of sales time.
| Metric | Manual monitoring | Detection AI |
|---|---|---|
| Tenders scanned / day per person | 20 - 40 | Unlimited (auto sort) |
| Share of relevant tenders actually read | 30 - 50% | 90%+ (noise removed) |
| Time to detect a key tender | 1 - 5 days | Publication day |
| Qualification time per tender | 20 - 45 min | 3 - 5 min (summary + score) |
| Relevant tenders missed | Frequent | Near zero |
The automatic summary (subject, criteria, estimated value, key dates, watch-outs) enables a go/no-go decision in minutes instead of a full read.
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Mini case study
Sarah is Sales Director at an engineering SME in Amsterdam that bids on public and private tenders. Her team monitors platforms manually ~10 h/week and regularly misses tenders for lack of time. She deploys a Standard AI at 33,000 EUR with scoring on her criteria (sector, value, geography, technical capacity). Result: monitoring drops to 2 h/week (-8 h) and the team qualifies +35% more relevant tenders. If the win rate holds, even one extra tender won per year at 120,000 EUR repays the project several times over, with no extra hire.
FAQ
Does the AI decide for us whether to bid? No, it proposes a score and a summary; the go/no-go stays human. Scoring speeds up triage, it doesn't replace your commercial judgement.
Which sources does it work on? TED, national e-procurement portals, private platforms, client portals, even sector feeds. Each added source carries a connector cost depending on its accessibility.
How is the scoring calibrated? We train it on your history of won and lost tenders and your explicit criteria. Relevance sharpens over 4 to 6 weeks of real use.
Can it help draft the response? At the Advanced tier, it extracts criteria and pre-fills elements from a reusable response base, cutting the time to assemble the bid.
How much do tokens cost? 2026 order of magnitude: 200 to 1,200 EUR/month depending on how many tenders are deeply analysed. We cap costs by only deep-analysing pre-filtered tenders.
Let's scope your project. Tell us your monitoring platforms, monthly tender volume and relevance criteria: we'll price the tier (20,000 to 45,000 EUR excl. VAT) and the sales time saved. Detailed quote within 48 h. WhatsApp +221 77 596 93 33.
Mohamed Bah
Fondateur, Kolonell
Passionate about digital and entrepreneurship in Africa, Mohamed has been helping Sénégalese businesses with their digital transformation since 2020. Founder of Kolonell, he believes every SME deserves a professional and accessible online présence.