AI-Augmented Presale Framework

The framework combines business analysis, technical expertise, historical project data and AI-assisted preparation. AI accelerates the work, while final requirements, solutions and estimates remain under human control.

1. Lead qualification and preparation

The available lead information is reviewed to understand the initial business need, expected timeline, budget, stakeholders, constraints and open questions. AI-assisted tools help organise the information, identify assumptions and prepare a focused agenda for the first client call.

2. Requirements clarification

The first client call focuses on the business problem, expected outcomes, users, existing systems, critical requirements, constraints, SLA expectations and success criteria. The result is a structured set of requirements, assumptions, exclusions, dependencies and unresolved questions.

3. Optional product discovery workshop

A discovery workshop may be added when the scope is unclear, several solution options exist, or a reliable estimate needs deeper analysis. Possible outputs:

Clarified scope and priorities
User flows and backlog
High-level solution
Risk register and roadmap
Refined estimate

4. AI-augmented solution and estimation

AI-assisted tools support requirement analysis, project decomposition, dependency detection, risk identification and preparation of estimation scenarios. The estimate covers:

Scope of work
Timeline and price
Team configuration
Assumptions and exclusions
Dependencies and risks
Contingency and confidence level

Every estimate is validated by the relevant technical specialists. Depending on complexity, validation covers critical areas or the complete decomposition.

5. Proposal preparation

The final proposal gives a clear view of objectives and scope, the high-level solution, deliverables and timeline, price and team configuration, assumptions, exclusions and risks, change management, post-development support, and project KPIs and reporting. KPIs are included to improve management and to give the client transparency and confidence in delivery.

Additional business value

The framework also identifies small, low-effort features outside the core scope that add meaningful business value. Selected improvements can be proposed during delivery to show initiative and build trust.