You sell expertise by the hour. AI lets you deliver it in half the time and keep the margin.

From 60% to 78% utilization in 12 weeks

A 40-person consulting firm was losing billable hours to proposals, reporting, and knowledge retrieval. Consultants spent more time formatting than thinking. We built an AI layer that auto-generated client reports, captured institutional knowledge from senior consultants, and cut proposal turnaround from two weeks to three days.

“Our senior people were becoming librarians. Now they're actually consulting again.”

Reporting that used to kill Fridays now runs itself

An agency's account managers spent every Friday afternoon assembling client reports across GA4, paid media and CRM. We built an automated reporting pipeline that pulls live data, applies the agency's narrative style, and generates branded PDFs for each client. Friday afternoon came back.

Every senior left a knowledge trail, not a gap

When a senior advisor left, the firm typically lost months of momentum. We deployed a knowledge automation layer that passively indexes methodologies, client context and decisions from emails, docs and project systems. When one of their most senior advisors retired, the knowledge stayed — and juniors now answer the questions the partners used to.

Weekly client reporting from 320 hours/month to 40 — senior strategists got their FTE back

The agency ran weekly reports across 28 clients spanning Google Ads, Meta Ads, Klaviyo, GA4 and HubSpot. Two senior strategists were burning roughly 80% of their week on report assembly — exporting data, formatting Looker Studio dashboards, hand-writing commentary, swapping client brand colors slide by slide. We built an AI-narrated reporting pipeline: live connectors into each platform, templates locked to the agency's deck format, and an LLM tuned on the agency's voice to draft the weekly commentary. Strategists now review and adjust instead of build. Both seniors stayed — their weeks shifted to strategy work, account growth and new-business pitches the agency had been declining.

“Our senior people had become deck assemblers. We hired them to do strategy. They're finally doing it.”

Mid-market EU AI Act compliance in 90 days — a 2-person council, audit-ready

A 600-person strategy and operations consultancy with offices in Madrid, London and Frankfurt was already running ChatGPT Enterprise, Microsoft Copilot and an internal Retrieval-Augmented Generation (RAG) system across client engagements. The compliance team was two FTE — sized for ISO 27001 and SOC 2 maintenance, not a new regulatory regime. With EU AI Act deployer obligations under Article 26 activating and the GPAI rules in force since August 2025, the partners had a hard deadline and zero approved headcount lift. We deployed our 250–1,000-employee operating model: a two-person AI council (Compliance Lead + IT-Security Lead, four hours per week each, plus a ninety-minute monthly partner-sponsor review), a lightweight AI register built in Notion rather than a six-figure GRC platform, a four-tier risk classifier mapped to the Act's prohibited / high-risk / limited / minimal taxonomy, and a seven-question DPIA + FRIA addendum embedded into existing procurement. Days 0–30 mapped 47 AI use cases across the firm (24 client-facing, 23 internal). Days 30–60 risk-tiered the 47 — three high-risk under Annex III, eighteen limited-risk with transparency triggers, twenty-six minimal — and ran full DPIAs on the three high-risk systems. Days 60–90 reassessed major vendors with the new addendum and produced the firm's first internal compliance dashboard covering inventory freshness, training coverage and DPIA status. The council still meets every two weeks. Twelve additional use cases have launched since go-live; none stalled in compliance review.

“We thought we needed to hire two more compliance people. We needed two people to spend eight hours a week on the right work — and a register that fits in Notion.”