Knowledge Assistant for a 1,800-Consultant Advisory Firm
Illustrative reference architecture. This is a composite engagement template built to show how Mopshy structures enterprise work. It is not a real Mopshy client, and every figure, KPI, and quotation on this page is illustrative rather than measured client data.
Firm-wide knowledge assistant unifying prior engagements, benchmarks, and expert directories — with rigorous access controls and audit trails.
3.4h
Reclaimed / consultant / week
+22%
Proposal win rate
−41%
Time to first draft
The bottleneck
Consultants re-created decks and benchmarks that existed elsewhere in the firm. Expert directory was out of date. Client engagement folders lived across SharePoint, iManage, and DMS silos.
The system
- Federated retrieval across SharePoint, iManage, and CRM with per-user ACL enforcement
- Practice-specific answer packs (strategy, operations, tech, PE)
- Expert-finder ranking by recent engagements and endorsements
- Full audit log; no client PII crosses engagement boundaries
Outcomes measured, not promised
1,800
Consultants live
96%
Weekly active users
100%
ACL-respected queries
0
Cross-engagement data leaks
What it cost, what it returned
Investment
$3.2M program (year one)
Payback
6 months
Annualized value
$26M reclaimed billable capacity
How it is built
- Federated retrieval with per-user ACL enforcement at query time
- Practice-tuned answer packs and prompt templates
- Expert-finder with recency + endorsement ranking
- Audit log with query, sources, and cited engagements
Representative engagement. This case study describes a composite of Mopshy AI's enterprise engagement patterns, delivery methodology, and observed outcome ranges. Company names, individual quotes, and specific figures are illustrative and used to communicate the enterprise pattern rather than to describe a single identified client.
30-minute working session
Find the highest-ROI automation in your business
Bring one workflow that is slow, repetitive, or leaking opportunities. We will map the bottleneck, the systems involved, and whether automation is actually worth implementing.
No obligation. If automation is not the right answer, we will say so.