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Scenario: IT services in public procurement
An illustrative scenario shows how an IT services firm can prepare a structured entry into public-tender work.
Auftrag One Team··5 min read
The starting situation: Successful in private sector, invisible in public
For many IT service providers, the public sector is a blind spot. Digitalization of government creates rising demand for IT consulting, software development and cloud services, yet formal procurement procedures seem complex and off-putting.
This illustrative scenario follows a fictional IT consultancy for cloud migration, custom software development and IT project management. It describes possible market-entry steps, not a customer's experience. All figures are example assumptions.
The challenge
The first attempt to find public tenders independently was discouraging:
- Confusing platform landscape: Germany alone has over 30 procurement platforms. Which portals were relevant for IT services was unclear
- Procurement law complexity: Eligibility criteria, reference requirements, lot structures, award criteria, tender documents contained requirements the team couldn't interpret
- Poor search results: Keyword search for "IT consulting" or "software development" returned either hundreds of irrelevant results or missed relevant tenders published under terms like "digitalization support" or "specialist system development"
- High entry barriers: Many tenders required public sector references, a classic catch-22 for newcomers
- No prioritization: Without market experience, the team couldn't assess which tenders were worth pursuing vs. long shots
After three months of manual searching, the company had submitted two bids, both unsuccessful due to incomplete requirements coverage.
The solution
Management decided on a more systematic approach with Auftrag One. The platform needed to solve three problems simultaneously: find tenders, understand requirements and assess chances realistically.
Step 1: Build profile with AI assistance
Instead of entering general search terms, they created a detailed company profile: service areas (cloud migration, custom software development, IT project management, operations support), technology stack, team size and available certifications. The AI search uses this profile to identify semantically matching tenders, independent of terminology used.
Step 2: Requirements checks for each tender
For each suggested tender, the platform delivered a structured overview of eligibility criteria and award criteria: what references are required? What certifications? How large must the deployed team be? What weight do price and quality carry?
This overview let the team decide within minutes whether an application was realistic, instead of spending hours studying tender documents.
Step 3: Competitive analysis for bid strategy
Through competitive analysis, the company could see which IT service providers had won similar procedures in the past. This provided valuable insights:
- For which contracting authority types do smaller IT companies succeed?
- Where do large systems integrators dominate?
- What contract volumes are realistic for a 20-person team?
Illustrative team question: Which procedures genuinely fit our references, capacity and service profile?
Possible observations in the scenario
After twelve months with Auftrag One, a clear transformation appeared:
Public sector contract intake
| Quarter | Bids submitted | Wins | Win rate |
|---|---|---|---|
| Q1 (without Auftrag One) | 2 | 0 | 0% |
| Q2 | 8 | 2 | 25% |
| Q3 | 11 | 4 | 36% |
| Q4 | 14 | 6 | 43% |
12 public contracts won in the first year. Total volume was approximately €1.8 million, a meaningful complement to private sector revenue.
Rising win rate
Win rate climbed from 0% to 43% in Q4. Three factors drove this improvement:
- Better pre-selection: The company now only bid on tenders where the requirements actually fit
- More complete bids: Structured requirements checklists ensured no criteria were overlooked
- More realistic pricing: Competitive analysis helped calibrate competitive prices without underpricing
Efficient resource use
- Research effort: 2 hours per week instead of original 6-8 hours manual searching
- Bid preparation: Faster due to pre-structured requirements
- No wasted effort: Competitive analysis filtered out procedures where chances were minimal
Building a reference base
The most important long-term effect: with each won contract, the reference base in the public sector grew. After 12 months, the company could provide matching references for most procedures, the entry barrier was overcome.
Strategic insights
The company gained insights typical for IT service providers:
The public sector is more accessible than assumed. The barrier isn't procurement law itself, but finding the right tenders and understanding requirements. Both can be simplified with the right tools.
Specialization beats size. In smaller and mid-market procedures, specialized IT consultancies often had better chances than large consulting houses, provided they met formal requirements.
Public contracts stabilize revenue. Public contracts are less economically sensitive than private work. This made revenue planning more predictable.
Conclusion
Entering the public procurement market isn't automatic for IT service providers, but it's no insurmountable barrier. The combination of AI-powered tender research, systematic requirements analysis and data-driven competitive assessment can significantly accelerate market entry.
Critical is the willingness to approach entry systematically: with a clear profile, realistic self-assessment and discipline to bid only on matching tenders.
Want to explore the public sector as a business pillar? Test Auftrag One free for 30 days. The AI finds tenders matching your IT service profile, even when contracting authorities use different language than you expect. All features are available during your test period. Pricing details are on our Pricing page.
This scenario is fictional and for illustration only. Its figures, tables and statements are example assumptions, not customer outcomes or testimonials.