What problem Sasha solves
The problem
Decades of business knowledge sit in file systems that only senior staff can find.
- A new client arrives. The team knows it has worked with similar clients before, but nobody can find the files.
- Only long-term staff remember past work and know where to look for it.
- Teams solve problems they have solved before and miss opportunities they have already identified.
- Junior staff cannot reach the knowledge that made past projects succeed.
What Sasha does
Sasha turns your existing files into a knowledge base that you can question in plain English.
A user asks: "We have a new client in the retail sector. What do we know?" Sasha returns a summary of past retail client work, similar clients in related industries, the strategies that worked, the challenges met, and the lessons learned.
What users do
- Ask questions in plain English, for example "What risks should we consider for this type of project?"
- Get answers that combine the experience recorded across your files.
- Use the answers in current engagements.
- Reach institutional knowledge without ten years at the company.
What happens behind the scenes
- AI processes your existing documents and files.
- No data migration or system changes are required.
- Your data stays private.
- Sasha works with your current files and folder structure.
Business impact
- Faster client setup. Relevant history is available when the engagement starts.
- Better outcomes. Teams apply lessons from similar past engagements.
- Knowledge access. Junior staff get the same information as senior staff.
- Risk management. Teams see the risks and mitigations recorded from past projects before they start a new one.
- Competitive positioning. Recommendations draw on your own past engagements.
- Knowledge preservation. Company knowledge survives staff changes.
Where teams use it
- New client meetings. Describe the challenges similar companies faced and how your team addressed them.
- Proposal writing. Cite approaches and case studies from your own past work.
- Risk assessment. Pull risk categories and mitigations from past projects of the same type.
- Senior staff. Work from the full institutional record rather than personal memory alone.