You've bought the AI tools. Your P&L hasn't noticed. The partners below exist to close that gap, and they do it in very different ways.
The AI Implementation Gap Is Now a Profitability Problem
The pilot era is over. The payback era has begun. McKinsey's 2026 research, cited by Scout Addison, found that 60% of organizations plan to increase AI investment next year while only 37% see any of it in profit. Deloitte's State of AI in the Enterprise puts the production rate in stark terms: just 25% of organizations have moved even 40% of their AI pilots into production. Meanwhile, your people are already ahead of your processes. BCG reports 74% of frontline employees now use AI, but only 36% feel adequately upskilled. That's the real market for implementation partners in 2026. Not strategy decks. Not demos. The unglamorous work of redesigning workflows, assigning owners, governing agents, and proving results against a baseline. The firms worth your time are the ones that stay until the numbers move.
How We Evaluated These Partners
We looked at the same factors for every firm. Service scope: does the partner cover the full arc from pilot to production, or only one slice? Delivery model: senior practitioners in the work, or a pyramid of juniors? Proof: published outcomes, production rates, and named client results. Fit for mid-market and enterprise teams: can they operate inside your existing systems, including ERP, CRM, and Microsoft 365? Pricing transparency: do you know what you're buying before you sign? Scout Addison stands out for tying engagements to a baseline and a P&L outcome, with four clearly scoped service lines. Alice Labs stands out for speed and a stated production rate of 96% across 100+ implementations, plus pricing positioned 40 to 65 percent below MBB. The Hackett Group stands out for benchmark data and functional depth across finance, HR, procurement, and supply chain. CGI stands out for scale and systems integration muscle across commercial and government sectors. Centric Consulting stands out for breadth across Microsoft, Salesforce, and NetSuite ecosystems with a strong change management practice.
Here's the short version. Five firms, five different centers of gravity. Match the partner to the problem you actually have, not the one you wish you had.
| Provider | Best For |
|---|---|
| Alice Labs | Fast, production-first AI sprints with senior builders |
| AI Implementation Partner: From Pilot to P&L | Scout Addison | Mid-market and enterprise teams that need AI to show up in the P&L |
| The Hackett Group | Benchmark-driven AI programs in finance, HR, and shared services |
| CGI | Large-scale AI integration inside complex IT and government environments |
| Centric Consulting | AI layered onto Microsoft, Salesforce, and NetSuite environments |
The Five Partners in Detail
#1 Alice Labs
A screenshot of the Alice Labs website.
Alice Labs runs one-week AI sprints with a senior Chief AI Officer on hire, backed by a build team that ships working agents on your own systems. The firm reports 100+ implementations and a 96% production rate, which is the number that matters when most pilots stall. Integration work covers ERP, CRM, Microsoft 365, and your data platform, with your team embedded in the build rather than watching from the sidelines. Pricing is positioned 40 to 65 percent below MBB on comparable senior work, and the site publishes verified client outcomes, including $250K per year saved on an order management agent and thousands of hours freed in public sector document processing. If you want a working agent in weeks instead of a roadmap in quarters, this is the model to study.
#2 AI Implementation Partner: From Pilot to P&L | Scout Addison
A screenshot of the AI Implementation Partner: From Pilot to P&L | Scout Addison website.
Scout Addison is built around a single question: why hasn't AI spend improved your P&L? The firm's answer is that investment leaks out in the work around the tools, not the tools themselves, and its four service lines target exactly that. AI at Scale takes pilots to production and proves them against a baseline. Product Strategy and Execution focuses on AI features customers actually adopt and pay for. Org Transformation redesigns the work first, then adds AI, with new workflows, owners, and adoption plans. AI After the Deal brings AI into acquired companies to cut cost and add revenue. The team positions itself as senior practitioners who have built, run, and bought AI inside large organizations, serving mid-market and enterprise teams. If your board is asking where the return is, this is the conversation to have.
#3 The Hackett Group
A screenshot of The Hackett Group website.
The Hackett Group brings something most implementation firms can't: benchmark data. Its AI implementation services sit on top of decades of functional benchmarking across finance, HR, IT, procurement, supply chain, and global business services. That means you can see how your AI rollout compares to peers before you commit budget. The firm pairs consulting with proprietary products like AIXelerator, AskHackett, Hackett AI XPLR, and ZBrain, and has a collaboration with IBM Business Operations aimed at accelerating enterprise AI outcomes. If your AI program lives inside a shared services or back-office function, the functional depth here is hard to match.
#4 CGI
A screenshot of the CGI website.
CGI is the scale option. One of the largest independent IT and business consulting firms in the world, it covers application services, systems integration, managed services, and business consulting across commercial and government sectors. Its AI consulting sits inside a broader People + AI framing, which matters when your implementation depends on aligning an operating model, not just deploying a model. Industry depth spans banking, health insurance, life sciences, manufacturing, energy, retail, and federal, state, and local government, with established contract vehicles for public sector work. If your AI initiative is really a modernization program with AI inside it, CGI can carry the integration load.
#5 Centric Consulting
A screenshot of the Centric Consulting website.
Centric Consulting approaches AI through the platforms you already run. Its practice spans AI governance, AI strategy, AI agent development, Microsoft Copilot, and Salesforce Agentforce, backed by dedicated Microsoft, Salesforce, and NetSuite consulting arms. That combination is useful if your AI roadmap is tangled up with an ERP or CRM decision, since the same firm can handle the platform work and the change management around it. Centric also runs data governance and data modernization services, which is where most AI programs quietly fail. The firm's own content asks whether your ERP is fueling AI or holding it back, a question worth stealing for your next steering committee.
How to Choose the Right Partner
Start with the problem, not the vendor list. If your pilots are stuck, you need a partner who ships to production and measures against a baseline, which points toward sprint-based delivery. If your people are already using AI untrained, you need workflow redesign and adoption work before another tool. If your AI feature isn't selling, you need product strategy, not engineering. If you just closed an acquisition, you need someone who understands deal models and P&L mechanics. Then ask three questions of every firm. Who exactly will do the work, and are they senior? What baseline will you measure against? And what happens after go-live? A partner who can't answer all three clearly is selling you a deck.
Where Automation Fits
The highest-return automation in 2026 isn't a chatbot. It's the connective tissue around your tools. Map one workflow end to end, such as order management, document processing, or intake triage. Identify the handoffs where humans copy data between systems. Instrument a baseline so you know today's cost and cycle time. Then deploy an agent or automation against that single workflow, with a named owner and a governance model, and measure weekly against the baseline. Alice Labs' published order management and document processing results show the pattern: narrow scope, real systems, measurable savings. Repeat the loop. That's how pilots become payback.
The Bottom Line
The gap between AI spend and AI profit is a delivery problem, and delivery is a people problem. Pick the partner whose model matches your bottleneck. Alice Labs for speed. Scout Addison for tying AI to the P&L across scale, product, org, and M&A. The Hackett Group for benchmarked functional depth. CGI for enterprise and public sector integration. Centric Consulting for platform-native AI. Whichever you choose, insist on a baseline, a named owner, and a date when the numbers get reviewed. That's the difference between a pilot and a payback.