AI strategy for small and mid-sized enterprises

Direction for the AI era. The playbook to make it work for you.

Compass & Code helps Small & Mid-size Enterprises (SMEs) build AI-resilient strategy, put their structured and unstructured data to work, and carry their people through the change. Two principals, hands on, from first question to a plan your team can act on.

The compass

Most SMEs are experimenting with AI. Few have a direction.

Off-the-shelf tools are everywhere; a strategy for where AI fits your business, what it should never touch, and how it holds up as the technology shifts is not. We give you that bearing before anything gets built.

The code

The code to make AI work for you, not against you.

Code means two things here. The playbook that turns AI from a threat into an advantage, and a practice rooted in software and data. We do not write your code; we tell you which systems to build or buy, how your data has to be prepared for them, and how to get your organization to adopt them.

The bearing

How we got here, and where it’s going

In four years, AI went from a chatbot people tried out of curiosity to something that affects how companies staff and run their work. Scroll to move the needle from 2022 to where we think it’s headed.

The upper arc of a compass card, turning counterclockwise to due north as the timeline advances, with later years arriving from the right.
  1. 2022

    The Modern Enterprise AI Era Begins

    OpenAI released ChatGPT in November 2022, and employees started using it at work almost immediately, often before their company had a policy on it. AI was no longer something only the data science team touched.

  2. 2024

    The First AI Agents Go to Work

    Models gained the ability to use tools: call APIs, search internal systems, and write and run code. For the first time, an AI could pull the report, update the record, or open the ticket itself instead of explaining how someone else should do it.

  3. 2026

    The Age of the AI Harness

    Models continued to get smarter, but another breakthrough happened: the AI harness. Think of it like this. A model is like gasoline. It holds enormous energy, but on its own it doesn’t take you anywhere. You need an engine to turn that energy into useful work. The AI harness is the engine. It gives the model a plan to follow, memory of what it’s already done, access to the tools and systems it needs, and checkpoints to catch mistakes. The result is AI that can work on a single task for hours and finish it, instead of answering one question at a time.

  4. 2028

    Teams Grow Without Adding Headcount

    Companies plan capacity around output instead of number of employees, and managers assign work to digital workers alongside their staff. The hard part shifts from doing the work to defining it clearly and reviewing what comes back.

  5. 2030

    The Era of Super Intelligence Begins

    The amount of work AI can complete on its own has doubled every few months since 2023. Even if that pace slows considerably, by 2030 these systems will operate far beyond human capability. Companies will perform the vast majority of their productivity via a digital workforce. People spend less time doing the work and more time deciding what to hand off, setting the standards, and reviewing the results. As super intelligence merges with robotics, the AI revolution moves off the screen and onto the factory floor, the job site, and the warehouse, where these new forms of embodied intelligence introduce new economics.

  6. North

    You Can’t Stop the AI Storm. You Can Navigate It.

    No one controls how fast AI moves or where it goes next. What you can control is whether your business is AI-native, built to use AI well today, and AI-resilient, able to adapt when things change tomorrow. At Compass & Code, that is the course we help you set.

135° SE

Services

Three practices, one engagement.

01

AI-resilient business strategy

Where AI creates leverage in your business, where it creates exposure, and how to position so that the next model release strengthens you instead of your competitors.

  • Opportunity and risk mapping across the P&L
  • Build, buy, or wait decisions with clear criteria
  • A 12–24 month roadmap the leadership team owns

02

Data for AI, structured and unstructured

Your databases are only half the picture. Contracts, emails, call notes, PDFs and drawings hold most of what your business knows. We make both usable, governed, and ready for AI.

  • Data inventory, quality, and access assessment
  • Document and knowledge pipelines for retrieval and agents
  • Security, privacy, and governance sized for an SME

03

AI change management

Tools are the easy part. Adoption fails on skills, confidence, and unclear ownership. We design the operating model and bring your people along so the systems actually get used.

  • Role-by-role workflow redesign and training
  • Usage policies people will follow
  • Measurement so leadership sees what changed

Approach

Built for companies without a chief AI officer.

Large firms have teams for this. You have a business to run. Our engagements are scoped to fit, staffed by the principals, and judged on what your business does differently afterward.

Principals only

You work directly with the two founders. No handoff to a junior team after the sale.

Weeks, not quarters

A strategy sprint in four to six weeks; a data and adoption roadmap inside a quarter.

Vendor neutral

We do not resell software. Recommendations are yours to keep, whoever builds them.

Your team runs it

Every engagement ends with a clear plan, training, and an owner inside your company.

Who we are

We have done this for the largest companies in the world. Now we do it for yours.

Fortune 500 companies pay for two things when they bring in AI advisors: someone who has built these systems and knows where they break, and someone who can turn technology into a strategy the board will back. Most SMEs get neither. They get a vendor demo or a generic slide deck.

Compass & Code was founded by two partners who have spent their careers on each side of that divide. One built software and data systems inside some of the largest technology companies on earth, then led AI and unstructured-data engagements for dozens of Fortune 500 clients. The other went from military service to an MBA, to management consulting at a global firm, to running strategy at a venture-backed growth company through a $65M raise.

We left large-company work because the businesses that need this most are the ones that cannot afford a mistake. You get the same rigor those enterprises bought, applied by the two people who did the work, at a scale built for you.

20 years
building software and data systems at global technology companies
Fortune 500
dozens of enterprise AI and unstructured-data engagements led
$65M
venture-backed company led as head of strategy
Zero handoffs
the partners you meet are the partners who do the work

Contact

Start with a 45-minute conversation about where you are.

No pitch. We will tell you plainly what we would do first, and whether you need us to do it.

[email protected]

Replies within two business days.