10 Case Studies: Humans + AI in Professional Services

How are professional services firms using Humans + AI?

Professional services firms are restructuring around Humans + AI models: AI handles drafting, research, and analysis at scale, while professionals set strategy, exercise judgment, and own client relationships. These ten case studies, spanning law, audit, consulting, and marketing, show two paths: established firms embedding AI into existing workflows, and AI-native firms built around it from the ground up.

The 10 firms at a glance

Firm	What the AI does	The human role
A&O ShearmanGlobal law	ContractMatrix drafts and red-lines contracts against client playbooks, saving around 7 hours per review; agentic agents are sold on to clients and other firms	Lawyers set risk parameters and review heat-mapped markups; partners clear flagged clauses
Altitude MarketingB2B marketing	Automates lead management, surfaces buyer insight, accelerates content production	Strategists own positioning, creative direction, and client relationships
Carta LawLaw (asset managers / PE)	Runs the first pass on contracts, KYC screening and LP transfer documents, then writes the result into the fund’s records	13 UK solicitors plus a US team, entering by exception on playbook deviations and complex transfers
Bain (Sage)Management consulting	GPT-4 knowledge agent synthesizes research and insight across ~18,500 consultants	Consultants frame problems, interpret findings, advise clients
CASETEAMManagement consulting	GenAI-native, hybrid-first delivery in a borderless network model	Human consultants lead engagements end to end
KPMG (Clara)Audit	Screens 100% of transactions, drafts work-papers, automates disclosure checklists	Auditors focus on complex judgments and stakeholder dialogue
MonksCreative / digital agency	Monks.Flow orchestrates AI across creative, content, and commerce	Creatives and strategists direct brand and craft
NXT HumansAI-native advisory / creative	AI-native delivery for mid-market and enterprise clients	A small senior team of consultants, designers, and engineers
SupergoodAI-native creative agency	AI-native, full-service creative production	Human creatives direct, edit, and refine
Unity AdvisoryAI-native advisory	AI-native advisory / tax / consulting built around AI from launch	Senior advisors own client outcomes and relationships

Humans + AI in Professional Service Firms

Professional services have always been based on applying deep expertise to create value for clients. The exponential rise of AI capabilities challenges the assumption that this expertise must be exclusively human. A profound transformation of the professional services landscape is only just beginning.

While some services previously delivered by professionals will become fully automated, the greatest value will lie in Humans + AI structures. The workflows, service delivery, capability development, value co-creation, and knowledge-driven relationships of tomorrow’s leading firms will seamlessly integrate the complementary strengths of humans and AI.

This brief compilation of case studies illustrates how a range of professional service firms – many of them recently launched – are effectively implementing Humans + AI processes.

Forthcoming reports will examine practical aspects of building next-generation Humans + AI professional service firms.

A&O Shearman

Overview

Formed in 2024 from the merger of Allen & Overy and Shearman & Sterling, A&O Shearman is a 3,900-lawyer “Magic-Circle-meets-Wall-Street” firm operating in 50+ offices worldwide. From day one it declared itself AI-led: the firm rolled out generative-AI tools firm-wide, licensing them to clients as products while embedding them in every service line—from capital-markets and M&A to litigation and derivatives.

Humans + AI Structures

• ContractMatrix SaaS. Generative-AI Word add-in/web app drafts and red-lines contracts against live playbooks—saving roughly 7 hours per contract review on Microsoft’s account of the deployment, an efficiency gain of about 30%. Around 2,000 of the firm’s lawyers use it, and it has since been extended with Analyze and Vantage modules; deal lawyers set risk parameters and review the heat-mapped mark-ups, while partners clear any flagged clauses before execution.
• Agentic AI Sold to Clients and Other Firms. Under an April 2025 deal with Harvey, the firm rolls out agentic AI agents aimed at complex legal workflows and sells them to clients and to other law firms on subscription and usage pricing with revenue share. Lawyers define and bound the workflows the agents run.
• Fuse Co-development Lab. Through its in-house accelerator, cohorts of AI start-ups (Cohort 10 as of July 2026) pair with partners to prototype tools that are piloted on live matters within weeks—turning lawyers into product co-designers.
• Senior Sign-Off Before Client Release. The firm’s stated approach keeps senior lawyers accountable for every AI-assisted output before it reaches a client, with the Markets Innovation Group owning tool development and firm-wide AI training.

Notable Features

A&O Shearman pairs global scale with a product-led mindset: it commercializes AI tools externally while using the same stack to cut turnaround times by hours per matter. Dedicated AI leadership, the Fuse innovation hub, and practice-specific “agentic” workflows keep experimentation rapid yet controlled. By integrating senior lawyers’ judgment into every loop, the firm aims to be AI-native without compromising quality or risk management.

Altitude Marketing

Overview

Altitude Marketing is a U.S.-based B2B agency that serves life-sciences, industrial and technology clients. In early 2024 it repositioned itself as an “AI-powered B2B marketing agency,” promising faster campaign execution, richer attribution and higher ROI by weaving generative-AI and automation into every service—from demand-gen and content to web builds and brand refreshes.

Humans + AI Structures

• Integrated AI Stack. Day-to-day work rides on a secure SaaS toolkit—ChatGPT-4, Jasper, Zapier and custom Python micro-services—plugged into HubSpot, Salesforce and ActiveCampaign. This removes manual “busy work” and lets strategists focus on high-leverage thinking.
• Predictive & Conversational Data Analysis. Machine-learning models “converse” with multi-gig data sets to reveal buyer patterns, fine-tune media flighting and optimise channel mix in near-real-time.
• Generative-Content Co-Pilot. Writers use ChatGPT-4 and Jasper to draft highly technical articles, white-papers and ads—cutting creation time by ~30 %, then refining tone and accuracy by hand.
• Required Human Sign-off. Every AI output is reviewed by senior strategists, designers or writers to ensure brand alignment, factual accuracy and compliance with sector regulations.

Notable Features

Altitude pairs a full-funnel B2B offering with a product-like AI operating layer. By automating lead management, surfacing deep buyer insights and speeding up content cycles, it claims to deliver more marketing output per dollar than traditional agencies—while maintaining the creative nuance that complex science & manufacturing clients demand. Its transparent blog series and client-facing “AI Marketing FAQs” reinforce thought-leadership and demystify the tech for skeptical CMOs.

Carta Law

Overview

Carta Law is the legal division of Carta, the private-markets software company, created in May 2026 when Carta acquired UK law firm Avantia Law and kept its regulated status. It serves asset managers, private equity, venture capital and private credit funds across three lines, compliance, contracts and fund services, working with 200+ clients on fixed fees rather than billable hours. The scope is deliberately narrow: high-volume, repetitive transactional and compliance work, sitting alongside outside counsel rather than replacing it.

Humans + AI Structures

• A Bench Sized to Exceptions, Not Volume. 13 UK solicitors, alongside a US team, cover more than 40,000 transactions. Human capacity scales with what escalates rather than with what arrives, which is what changes the leverage maths of a professional firm.
• Playbook-Driven Review, Escalation Only. AI reviews third-party paper against a client-specific playbook and the client’s own precedent. Routine points resolve against pre-agreed positions, and only critical issues or playbook deviations escalate to counsel, across NDAs, non-reliance letters and vendor agreements.
• Automated Compliance Screening, Attorney Adjudication. AI runs counterparty screening across thousands of databases for sanctions, politically exposed persons and adverse-media risk. Attorneys review and verify the results, draft risk memos for investment committees and produce audit-ready documentation, with dedicated regimes for Cayman, Luxembourg and Delaware.
• Legal Output Written Into Client Records. For LP transfers, AI extracts signatories and jurisdictions from partnership agreements to build a legal relationship graph, generating AML comfort letters and tax documentation. Attorneys handle negotiation and complex transfers, and the executed transfer flows into the fund’s ledger and partner register.

Notable Features

What distinguishes Carta Law is where the human decision point sits. Routine positions are resolved against a pre-agreed playbook without a lawyer seeing them, so humans enter by exception rather than by default. That is a further step along the delegation spectrum than review-everything models, and it is what makes a 13-solicitor bench viable at this volume. The second shift is at the other end of the workflow: the deliverable is not a document handed to someone else to act on, it executes directly into the client’s fund records, removing the chain of human handoffs that normally follows a legal output.

Bain Sage

Overview

Sage is Bain & Company’s proprietary knowledge-agent platform, unveiled in 2023 and now in use across the firm’s 19,000 people in 67 cities and 40 countries. Bain describes it as powered by ChatGPT and integrated with Microsoft Copilot. It instantly synthesises Bain’s vast proprietary research, case work, and sector datasets, letting teams surface benchmark data, draft analyses, and translate insights in seconds. Bain positions Sage as proof-point that elite human consulting can be AI-led without sacrificing judgment—accelerating delivery while showcasing the firm’s OpenAI alliance to clients.

Humans + AI Structures

• Proprietary Knowledge Engine. Built under Bain’s services alliance with OpenAI, Sage draws on Bain’s curated knowledge base to return cited answers, drafts and code snippets. Bain was one of 19 partners investing in the OpenAI Deployment Company in May 2026 and was named an OpenAI Elite Partner in July 2026.
• Embedded Workflow Integration. Sage appears inside Bain’s standard tool-chain (MS Office, Teams, Tableau, Jira). Consultants invoke it to draft slides, generate interview guides, or compare KPIs, then push results straight into client deliverables.
• Mandatory Human Validation & Governance. Every Sage output is reviewed by case-team members; Bain’s responsible-AI programme is led collectively by senior leaders including the Chief Risk Officer, Chief Legal Counsel and CIO, setting guard-rails on data privacy and model use before client work.

Notable Features

Bain couples global scale with a product-led mindset: ChatGPT Enterprise is deployed firm-wide alongside more than 19,000 custom GPTs built by Bain teams, and joint work with OpenAI has reached major clients such as Coca-Cola. The platform underpins Bain’s stated goal of tech- and AI-enabled work reaching half of total revenue in the coming years, up from around 30% in 2024, while its “human-in-the-loop” model preserves premium advisory margins and client trust—illustrating how a top-tier strategy house can become genuinely AI-native without abandoning bespoke, senior-led consulting.

CASETEAM

Overview

Launched in December 2024, CASETEAM positions itself as one of the world’s first genAI-native, hybrid-first management-consulting firms. Head-quartered in Silicon Valley but organised as a borderless network, it promises top-tier problem-solving for business, government and nonprofit clients at a superior return on invested fees (ROIF). Its differentiator is CASETEAM Prism, a proprietary genAI suite that accelerates every phase of the consulting lifecycle—from scoping and research to option-generation and deliverable drafting.

Humans + AI Structures

• Prism Problem-Solving Suite. A secure, Azure-hosted stack of large-language-model agents fine-tuned on CASETEAM’s frameworks and sector datasets; generates analyses, datapacks and slide drafts in minutes.
• GenAlyst™ Agents. Named AI co-workers (e.g., Casey, Cate, Saras) join every project team to run rapid research, scenario modelling and synthesis while human consultants steer judgment and client dialogue.
• COLINT™ Talent Model. First-of-its-kind Collaborative-Intelligence Case Interview where candidates solve live cases with a GenAlyst agent—training and vetting new hires in human-AI collaboration from day one.
• Mandatory Human Stewardship. Every Prism or GenAlyst output is reviewed by consultants; an internal AI-governance board sets guard-rails on data security, hallucination risk and client confidentiality.

Notable Features

CASETEAM is a clean-sheet professional-services model: no legacy billable-hour pyramid, but outcome-priced engagements powered by a proprietary AI engine. By embedding AI agents not only in delivery but also in recruiting (COLINT), knowledge management and pricing, it showcases how a strategy boutique can be truly AI-native yet human-led—offering clients faster cycles, richer insight, and a transparent metric (ROIF) to prove impact.

KPMG Clara

Overview

KPMG Clara is the Big-Four network’s cloud-native smart-audit platform, underpinning engagements for 95,000+ audit professionals across KPMG member firms in 138 countries and territories. Introduced in 2017, given a generative-AI layer in July 2024 and extended with AI agents in April 2025, Clara aims to deliver deeper risk insights, continuous assurance and a more transparent client experience—while keeping human auditor judgment at the centre.

Humans + AI Structures

• LLM-powered Audit Chat & Agent Suite. Built on Azure OpenAI, “Audit Chat” answers technical queries, drafts work-papers and explains standards; a new cohort of AI agents now automates disclosure checklists, expense vouching and the search for unrecorded liabilities, surfacing exceptions for auditor review.
• MindBridge Anomaly-Detection Engine. Journal-entry analytics from MindBridge run inside Clara, flagging unusual transactions and control breakdowns; auditors explore drill-downs and decide on follow-up testing.
• Clara Workflow & Collaboration Portal. A secure client interface gives real-time visibility into PBC requests, analytics dashboards and status, streamlining evidence exchange and reducing email churn.
• Global AI Governance & Training. A cross-member-firm board sets model-risk controls, privacy rules and prompt libraries; every auditor must complete Clara-AI accreditation before using advanced features.

Notable Features

Clara converts a traditionally seasonal, sample-based audit into a near-continuous, data-rich process: AI screens 100 % of transactions while humans focus on complex judgments and stakeholder dialogue. It sits within KPMG’s three-year US$4.2 billion investment programme in technology, talent and ESG, and is a prototype for “people-powered, AI-enabled” assurance—showing how a global profession can scale quality and insight without scaling head-count.

Monks

Overview

Digital-first agency Monks (formerly Media.Monks) counts around 6,150 staff in 34 countries as at June 2026, down from roughly 9,000 two years earlier, and delivers creative, content and commerce for global brands. In January 2024 it launched Monks.Flow, an AI-centric managed service and soon after earned Adweek’s inaugural AI Agency of the Year accolade. By July 2024 the firm restructured all marketing- and tech-services lines around this platform, describing itself as “AI-powered at every touch-point.”

Humans + AI Structures

• Monks.Flow Intelligent Workflow. A cloud stack of 15+ apps that plug gen-AI, analytical-AI and automation into research, concepting, localisation and performance reporting—freeing strategists and creatives to focus on insight and craft.
• Generative Production Pipeline. For campaigns such as HP’s Back-to-School spots, Monks combines Stable Diffusion XL, DreamBooth and ControlNet to generate style-consistent video frames, then human artists refine color, motion and compositing.
• Live Multimodal Broadcast Engine. A Twelve Labs–powered system understands video streams “like a human,” enabling on-the-fly object detection, remixing and hyper-personalised cuts for VR/AR, social and streaming.
• AI Audience & Insight Hub. LLM agents mine brand, social and CRM data to surface buyer personas and channel white-spaces; planners interrogate the models in natural language before locking media strategy.

Notable Features

Monks treats AI as the agency operating layer: every deliverable is born inside Monks.Flow, iterated through generative tool-chains and finished by senior talent. The platform’s blend of automation (speed), multimodal generation (creative range) and human stewardship (brand nuance) lets the firm ship large-scale, multi-market campaigns in days rather than weeks—positioning Monks as proof that a global creative network can be genuinely AI-native yet human-led.

NXT Humans

Overview

NXT Humans is an AI-native consultancy launched in August 2024 and headquartered in Philadelphia. The boutique team helps organisations scale with AI-native strategy, intelligent automation and rapid digital experiences across retail, financial services, healthcare and higher education—positioning itself as the bridge between “strategy houses that stop at slideware and software studios that lack boardroom fluency.” Its published work includes predictive audience modelling using synthetic customers for a fashion retailer, and an AI-enabled service-design programme delivered with partner Think Company.

Humans + AI Structures

• Strategy, Build, Activation. Engagements run through a three-stage model: framing the problem and the AI opportunity, building the solution, then activating it with the client’s own teams. Consultants own the framing and the client relationship; the AI systems carry the build.
• Predictive Audience Modelling. Synthetic customers are generated from client and market data to test propositions, messaging and journeys before launch; consultants interpret the results and decide what reaches market.
• Vendor-Neutral Build. The firm builds on Microsoft, Google and Anthropic models rather than a proprietary stack, choosing per problem. Humans set the guard-rails and stress-test outputs before go-live.
• Partnered Delivery. Larger service-design programmes are delivered jointly with partner firms such as Think Company, pairing the firm’s AI capability with established design and research practice.

Notable Features

NXT Humans operates on outcome-priced “growth sprints” rather than billable hours, delivers agent prototypes that clients can own, and openly publishes playbooks to demystify AI for sceptical executives. Its lean footprint and productised tool-chain illustrate how a micro-boutique can punch above its weight—combining human strategic insight with a reusable AI core to out-iterate far larger competitors.

Supergood

Overview

Supergood is an AI-native, full-service creative agency launched in February 2025 . Launching with ≈45 staff and 76 % of the team from under-represented backgrounds, and now headquartered in New York with a distributed team, the shop promises campaign work that is “2× faster and 2× more effective” than legacy agencies by fusing senior talent with a patent-pending AI platform called Supercharger. Early clients included U.S. Bank, Cinemark and Zipcar. U.S. Bank remains a flagship account, alongside Deloitte, Tito’s, John Hancock and Edmunds.

Humans + AI Structures

• Supercharger Platform. A modular, patent-pending stack (Strategy Engine, AI Audiences, Competitive Overview, Creative Testing, AI Production and GEO/AI Search) that pulls enterprise-grade data into fine-tuned LLMs to surface insights, draft briefs and generate creative variants in minutes.
• AI Audience Simulation. Consultants chat with synthetic customer cohorts built from first-party and market datasets to pressure-test positioning, headlines and media mix before production.
• Real-time Co-Creation Sessions. “SuperSessions” drop brand teams and Supergood creatives into a secure Azure workspace where LLM agents iterate copy, layouts and storyboards live; strategists steer, edit and lock outputs.
• Generative Production Pipeline. Integrated tools (ElevenLabs voice, Spiral AI video, Adobe Enhance, etc.) let art directors spin prototypes that editors and directors refine—compressing post-production cycles.

Notable Features

Supergood’s model treats AI as the operating layer of the agency, not a department: every deliverable begins and ends in Supercharger, with humans adding strategic framing, brand voice and creative nuance. By publishing its stack, the firm positions itself as both practitioner and thought-leader—illustrating how a mid-size shop can deliver HoldCo-level output while running on a lean, data-driven, human-plus-AI engine.

Unity Advisory

Overview

Launched in April 2025, Unity Advisory is a Private Equity-backed challenger to the Big Four created by former EY-UK chair Steve Varley and ex-PwC COO Marissa Thomas. Warburg Pincus has committed US $300 million to fund a “clean-sheet” advisory house that offers tax, complex M&A and tech-transformation work—but no audit—aiming squarely at mid-market, PE-owned companies that want top-tier advice without legacy overhead or conflict risk. Varley calls the proposition “super client-centric, really low cost and AI-led rather than based on legacy infrastructure.”

Humans + AI Structures

• AI as the Runtime, Not a Layer. The firm describes proprietary AI workflows and smart automation built into delivery from the start rather than added to legacy processes, with leadership framing AI as “the runtime of the firm, not a layer bolted on”. Senior advisors own judgment, client relationships and sign-off.
• Three Service Lines, No Audit. Finance, Deals and Value Capture, and Tax Matters, with technology transformation folded into the finance offer. Declining audit work removes conflict constraints, so the same AI-supported delivery model can run across every service line.
• Senior-Weighted Team. Around 100 people including roughly 20 partners, built without the traditional leverage pyramid. Low overheads and automation of administrative work are the stated route to lower client cost, rather than billing juniors at premium rates.
• Dedicated AI Leadership. Marc Lien, previously at McKinsey and Lloyds, joined as Chief AI Officer and board member in April 2026, making AI capability a board-level accountability rather than a delivery function.

Notable Features

By dropping audit, Unity avoids conflict rules and can embed its AI platform in every service line without regulatory grey areas. The founders bet that a lean, senior-weighted workforce augmented by AI can deliver Big-Four-grade insight at materially lower client cost while giving senior talent equity upside. If the model scales, Unity may prove that human expertise + a proprietary AI core + PE capital can crack open a market long dominated by partnership pyramids.

What this means for professional services

Six patterns cut across the ten firms:

1. The expertise premium moves from production to judgment. AI absorbs drafting, research, and first-pass analysis; the defensible human value is framing the problem, exercising judgment, and owning the client relationship.
2. The human decision point moves from every output to the exceptions. Review-everything models put a person on each deliverable. Escalation models resolve routine work against pre-agreed standards and invoke humans only on deviations and complex cases, as Carta Law does with a bench of 13 solicitors. Where a firm sets that threshold now shapes its leverage more than headcount does.
3. Two viable models, not one. Incumbents (A&O Shearman, KPMG, Bain) embed AI into existing workflows; challengers (CASETEAM, NXT Humans, Supergood, Unity Advisory) build AI-native from day one. Both work; they compete on different strengths.
4. From sampling to full coverage. Especially in audit, AI shifts work from seasonal, sample-based review to near-continuous, 100%-population analysis, a change in kind, not just speed.
5. Internal tools become client-facing products. Firms like A&O Shearman commercialize the same AI stack they use internally, blurring the line between service and software.
6. Org structure reshapes around AI orchestration. New roles (AI/ML leadership and workflow operators) and leaner senior teams replace the traditional leverage pyramid.

Frequently asked questions

How are professional services firms using AI?

They are adopting Humans + AI models where AI handles drafting, research, and analysis at scale while professionals set strategy, exercise judgment, and own client relationships, across law, audit, consulting, and marketing.

What is a Humans + AI model in professional services?

A delivery model that deliberately designs the division of labor between people and AI, rather than simply adding tools. AI does high-volume production and analysis; humans do judgment, relationships, and accountability.

Will AI replace professionals in law, audit, and consulting?

Some discrete tasks become fully automated, but the greatest value shifts to Humans + AI structures. Across these ten firms, professionals remain accountable for judgment, client relationships, and complex decisions.

What is the difference between AI-native firms and traditional firms adopting AI?

Traditional firms embed AI into existing workflows and leverage scale; AI-native firms are built around AI from the ground up, with leaner senior teams and new operating models. Both are represented here.

Which professional services firms are leading in Humans + AI adoption?

This report profiles ten: A&O Shearman, Altitude Marketing, Bain (Sage), Carta Law, CASETEAM, KPMG (Clara), Monks, NXT Humans, Supergood, and Unity Advisory.

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