Should I bid on this £2M tender?

For: Construction, Professional Services, Government Suppliers

The problem

You spend two days every week reading tender documents that you may not even bid on. Each one needs cost estimation, capacity checks, win-probability gut-feel, and a partner conversation. Bid wrong and you waste a week of staff time. Bid right but lose and you still wasted the week.

Most SMEs bid on roughly half the tenders they should and bid on twice as many they should not. Both errors cost money — the first in lost revenue, the second in opportunity cost.

How EF-Strategy solves it

Three steps. One outcome.

Paste the tender brief

Drop the PDF or document text into EF-Strategy. The 16-executive AI board reads it in seconds — CFO checks margin viability, COO checks delivery capacity, CRO checks competitive landscape.

Get a written recommendation

In 7-8 seconds you get: estimated cost to bid, estimated cost to deliver, capacity utilisation impact, strategic fit score, and a win-probability range based on your historic data.

You decide, with the workings shown

Every recommendation shows its reasoning. Disagree with a number? Override it. Approved bids drop straight into EF-CRM as a tracked opportunity.

The outcome

What you should expect

Cut tender-evaluation time from 2 days to 10 minutes
Bid on 30% fewer tenders, win the same number — better hit rate
Free up senior staff from low-value qualification work
Build a data trail of why you bid (and why you didn't)

Common questions

Frequently asked

Does it work for public-sector tenders?▼

Yes. EF-Strategy handles Crown Commercial Service, NHS Supply Chain, council frameworks, and EU OJEU notices. It will flag mandatory PQQ requirements you don't meet before you waste time.

What data does it need from me?▼

For best results, connect EF-CRM (your historic bid wins/losses) and EF-CapFlow (your cost base). Without those, it gives industry-benchmark analysis instead of company-specific.

Can I see the AI's reasoning?▼

Every output includes the contributing executives, the data they used, and a confidence band. You can challenge any number and the model recalculates.