AI-assisted CRM workflow automation
Replaced spreadsheets and disconnected tools with a CRM and AI assistant for a B2B sales org.

- Response time
- -64%
- Qualified pipeline
- +41%
- Forecast accuracy
- +28%
- Adoption
- 98%
Problem
Sales teams jumping between CRM, spreadsheets and chat — losing deals to context loss and slow follow-ups.
Solution
Built a tailored CRM with deal automation, omnichannel timeline and an AI assistant for next-best-action and summaries.
Outcome
Cut response time by 64%, increased qualified pipeline by 41%, and improved forecast accuracy materially.
Context
A growing B2B sales organisation was losing deals to context loss. Reps were jumping between an aging CRM, spreadsheets, chat threads and shared docs — and the leadership team had no real picture of what was happening in the pipeline.
More tools were not the answer. Less, but smarter, was.
What we built
A tailored CRM with deal automation, an omnichannel customer timeline and an AI copilot that operates as part of the system — not as a separate chat box.
- Pipeline & deal automation with stage-aware playbooks.
- Omnichannel customer timeline (email, calls, meetings, in-app).
- AI copilot with three modes — observe, suggest, act.
- Forecast model with explainable confidence intervals.
- Workflow studio for the team to build their own automations.
How we delivered
We worked deal-by-deal with the sales leadership for the first six weeks — modeling the way they actually run their business before building anything. The AI copilot started in observe-only mode for a month, then suggest-only, and only then was given action permissions — after passing a custom eval suite.
What changed in the business
Response time dropped 64%. Qualified pipeline grew 41% in the first quarter. Forecast accuracy improved measurably. And the leadership team — for the first time — had a CRM their reps actually used. 98% adoption inside the first two months.
Inside the product
A glimpse of the surfaces we shipped — designed for operators, customers and auditors.


“The AI in this CRM doesn’t feel like a feature. It feels like a teammate. That’s a very different bar — and Vedas hit it.”
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