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Vikrama.
Professional Services

Practice management, knowledge systems, and delivery tools. For firms that bill by the hour.

We build the systems that improve utilization, capture knowledge, and scale expertise.

Consulting firms, law firms, and agencies run on people and knowledge. We build practice management platforms, knowledge management systems, and AI-powered delivery tools that improve utilization rates, reduce admin overhead, and capture institutional knowledge before it walks out the door.

Why AI in Professional Services is different.

Professional services firms sell time and expertise. The average utilization rate at consulting firms is 60-70%, meaning 30-40% of billable capacity is lost to admin, context-switching, and work that was already done for a different client. A 5% utilization improvement on a 200-person firm billing at $250/hour is $2-4M in recovered revenue annually.

AI is reshaping how knowledge work gets done. Law firms using AI for contract review are cutting document review time by 70-80%. Consulting firms with knowledge management systems are reusing past deliverables instead of rebuilding from scratch. Proposal generation that took 60 hours now takes 20.

The risk for professional services firms is not that AI replaces their people. It is that competitors adopt AI and deliver the same quality work at half the cost and twice the speed. The firms that build these systems now will set the margin and pace standards for the next decade.

The Problems That Slow You Down

01

Utilization tracking is retroactive and inaccurate

Partners find out about underutilized teams weeks after the fact. Time tracking is hated, incomplete, and entered on Friday afternoon.

02

Institutional knowledge lives in people's heads

When senior consultants leave, their playbooks, templates, and client context leave with them. The next team starts from scratch.

03

Project profitability is a surprise at close

Scope creep, underestimated hours, and untracked expenses compound. You find out a project lost money after it's done.

04

Client deliverables are built from scratch every time

Similar reports, analyses, and presentations rebuilt for every engagement. 40% of the work was done before for a different client.

These aren't pitch deck scenarios. Every use case maps to a system pattern we've built and deployed in production.

What We Build in Professional Services

Document Review & Contract Analysis Agent

Managing Partner
Problem

Associates spend 60% of time reviewing contracts, due diligence docs; $300-500/hour billing on repetitive review.

System

LLM+RAG agent ingests contracts/filings, extracts key clauses, flags risks, generates comparison matrices.

Review time cut 70-80%, associates freed for higher-value work.

Knowledge Management Copilot

Chief Knowledge Officer
Problem

Consultants/lawyers can't find past work product; duplicate effort across offices, institutional knowledge lost.

System

LLM+RAG on internal document corpus for natural-language search across proposals, memos, research, and precedents.

Search time from hours to seconds, knowledge reuse up significantly.

Proposal Generation System

Head of Business Development
Problem

RFP responses take 40-80 hours each; boilerplate reuse is manual, win rates 15-20%.

System

LLM generates proposal drafts from past wins, capability statements, and RFP requirements, with human review and customization.

Proposal time cut 50-60%, win rate improvement from better targeting.

Client Risk & Engagement Scoring

COO
Problem

Partners subjectively assess client risk; bad engagements discovered too late, write-offs 5-10% of revenue.

System

ML scoring on engagement data (hours vs budget, scope changes, communication patterns), feeding early warning dashboards.

Earlier intervention on at-risk engagements, reduced write-offs.

Time & Billing Automation

CFO
Problem

Professionals lose 15-20% billable time to admin; time entry lag causes revenue leakage.

System

LLM reads calendar/email/doc activity, suggests time entries, auto-categorizes by matter/project, integrated with billing.

Billable capture improvement, admin time reduced.

Building the system is half the job. Growing the business around it is the other half.

How We Grow Professional Services Brands

AEO for Professional Services Queries

CMO
Problem

Firms miss "best consulting firm for AI strategy" citations in ChatGPT; competitors get mentioned instead.

Build

Structured thought-leadership pages, case study schema, tracked AI citations to contact forms.

AI citation visibility, inbound lead growth.

LinkedIn Content for Partners

Head of Marketing
Problem

Partners post sporadically; low engagement, missing thought leadership pipeline.

Build

AI-drafted insights from practice expertise, carousel case studies, gated guides.

Engagement uplift, pipeline from thought leadership.

HubSpot CRM for Relationship Management

Director of Business Development
Problem

Client relationships tracked in spreadsheets/memory; no systematic nurture for alumni/past clients.

Build

HubSpot with relationship scoring, event-triggered nurture, referral tracking.

Repeat/referral business growth.

Frequently asked questions

AI moves fast. Stay ahead.

No spam. One actionable email per week on AI systems and growth.

Your firm's best work is locked in past projects. We make it reusable.

Start with a practice operations audit. We'll identify where AI and automation improve utilization, knowledge capture, and project profitability.