Case · Agency / B2B
Winning proposals in an hour, not a week.
A RAG system trained on your past projects. Automatic filling of tender documentation in your style.
Model case: we assume the company looks like this and show how much it would yield.
- Model case
- OpenAI Assistants
- Pinecone
- Lovable
Starting point
Tender documentation is a nightmare
The tender brief (RFP) arrives on Thursday, the deadline is Monday. Three people from the team spend the weekend retyping references, certifications and methodologies from past proposals.
- Before
Weekend marathon
MANUAL PROCESS
- After
Draft within an hour
AI AUTOMATION
What we would build
Tender system
Uploading the brief, finding similar parts in the archive, creating a draft, human review.
- 01
Upload
Tender brief (RFP)
- 02
Search
Similar parts from the archive
- 03
Draft
GPT-4o + proposal archive
- 04
Review
Fine-tuning by a human
- OpenAI · Assistants API
- Pinecone · Search database
- Lovable · User interface
- Make · Connecting the steps
Rollout steps
How the rollout would go.
- 01
DAY 01 to 03
Proposal archive into a database
Uploading 142 past bids into the Pinecone database.
- 02
DAY 04 to 06
Drafting
Section by section. The AI offers 3 variants, the author picks.
rfp_section_generator()
- 03
DAY 07 to 08
Review
An editor that shows the new text next to the original proposals and highlights the differences.
Model assumptions
Where the result comes from.
We take a typical company from the sector and the situation from the brief, add labelled assumptions and calculate the result. If the inputs change, so does the result, so you can recalculate it for your own company.
Model company
A model agency that writes tender bids. The brief arrives on Thursday, the deadline is Monday, and three people rewrite references from past bids.
Inputs
- One RFP today
- 40 h of team work
- One RFP with AI (draft and review)
- 4 h
- RFPs per month (assumption)
- 2
- Labor rate (assumption)
- 24 EUR / h
Calculation step by step
- 01
Time saved per RFP
40 h − 4 h= 36 h
- 02
Share saved
36 h ÷ 40 h= 90 %
- 03
Time saved per month
2 × 36 h= 72 h
- 04
Value of the saved time per month
72 h × 24 EUR= 1,728 EUR
This is a gross saving of time and money. We include the cost of rollout and running only where it is visible in the calculation.
Model results
What would change after rollout.
- Model case
−90 %
From 40 h to 4 h per RFP
Time
- Model case
72 h / month
2 RFPs × 36 h of saved time, 1,728 EUR
Capacity
Your numbers belong in the model, not ours. The calculator shows where to start, and we work out the real values on your data.
Start here
15 minutes is enough for you to know whether it makes sense.
You tell us what is bothering you. We tell you whether we can help, roughly what it costs and where I would start in your place. No presentation.
- jakub@transformuj.ai
- Phone
- +420 773 070 090
- Address
- Legerova 1820/39, Praha 2