Your methodology is your competitive advantage.
We make it permanent.
We build private AI platforms for consultancies and professional services firms. Your proprietary frameworks, client knowledge, and institutional expertise, encoded into an AI that reasons the way your organisation does.
Start a conversation →Your best thinking is trapped in your best people.
Proprietary methodology lives in senior heads, in slide decks, in email chains. When a key person is unavailable, the quality drops. When they leave, the methodology walks out the door.
AI can solve this, but only if it understands your specific context. Most AI implementations skip this entirely. That is why most of them fail.
Our approach
The Contour Methodology
Before we build anything, we map the contours of what your organisation already knows. Three layers of depth:
The Philosophy
Context is the competitive moat. Every organisation has access to the same AI. What none of them can replicate is their accumulated knowledge.
The Ring Model
Maps how deeply SASHA understands your organisation, from public information through to proprietary methodology and system integration.
SASHA
The platform. Context Engineering maps what you know. Controlled Reasoning applies AI with evidence-linked rigour and clear boundaries.
The product
What SASHA does
Your methodology, always available.
Senior expertise accessible to every team member, every engagement, without the bottleneck. SASHA reasons using your proprietary frameworks, not generic AI.
Your data, inside your firewall.
Private deployment via AWS Bedrock or internal LLM. Nothing leaves your infrastructure. Complete data sovereignty.
Your knowledge, compounding.
Every engagement makes SASHA smarter. Institutional knowledge becomes infrastructure, not a liability that walks out the door.
Who is this for?
Professional services firms and consultancies with proprietary methodology worth protecting: from procurement specialists and management consultancies to accountancy practices and professional networks.
If your firm has methodology worth encoding, we should talk.
Start a conversation →