The operational reality
The relationship manager’s preparation time is the constraint on everything. An RM cannot walk into a review having read every statement, so they prepare for the meetings they remember and improvise the rest.
Portfolio review preparation
Assembling holdings, performance, allocation drift, transactions since last review, and open actions, across mutual funds, equities, bonds, insurance, PMS and AIF, often in different systems.
Client communication
Market events generating a wave of "should I be worried?" calls, all needing a consistent, compliant answer fast.
Suitability and compliance documentation
Recommendation rationale, risk-profile alignment, and the evidence trail SEBI expects from advisers and portfolio managers.
RM productivity
Which families are under-serviced, which reviews are overdue, which opportunities are visible in the data and invisible to the RM.
Transitions
When an RM leaves, the relationship knowledge shouldn't leave with them.
What we build
Consolidated client view on Zoho
Household and entity structures, holdings across product types, documentation status, service history, and open actions on one screen.
Automated review preparation
The pack assembled before the meeting: holdings, performance, allocation versus policy, transactions since last review, and suggested talking points.
Learn moreCited answers across the book
An RM asks "what's this family's exposure to mid-cap?" and gets an answer with source records attached, in seconds, on a phone. Every answer traceable.
Learn moreMeeting capture
Review discussions transcribed, action items extracted, and minutes filed against the client record. The suitability evidence trail builds itself.
Learn moreClient reporting
Consolidated, branded, scheduled, with the metric definitions governed so two reports never disagree.
Learn moreServicing workflows
Transaction requests, documentation updates, grievances, with SLAs and visibility.
A note on AI in wealth
Wealth is the sub vertical where AI should be least visible to the end client. The gain is in preparation, documentation and recall, not in conversation. We’d advise against client facing autonomous agents in a private client relationship, and we’d say so even where the technology would work.
Common questions
Can the AI give investment advice?
No, and we wouldn't build that. It retrieves and summarises what's in your records: holdings, history, what was agreed. Advice remains the adviser's, with the suitability trail documented.
Does it work across custodians and product types?
That's the main integration effort: mutual funds via RTA feeds, equities via depository and broker data, insurance and alternatives often manual or file-based. We map what's automatable before quoting.
How do we stop an RM seeing another RM's clients?
Row-level permissions in the CRM, inherited by every agent. An agent invoked by an RM can only retrieve what that RM could open. This is tested explicitly at UAT.