Digiform is an AI transformation practice for small and mid-market companies — the operators, the owner-led businesses, the portfolio companies who don't have a Big Four retainer and don't need one. We bring enterprise-grade method and senior people to engagements that are sized to actually close.
The largest AI value creation opportunity in the next decade does not sit inside the Fortune 500. It sits inside the tens of thousands of mid-market companies — the manufacturers, the distributors, the regional services firms, the family-owned operators — who are running on spreadsheets, tribal knowledge, and software written before the iPhone existed.
These businesses don't need a research lab. They don't need a thirty-person consulting team. They need a small group of operators who have run the playbook before, who can find the value, build the system, and prove the result before anyone gets bored.
Digiform was built to be that group. Enterprise method, mid-market footprint. We bring the discipline that comes from running large programs at large companies, and we apply it to engagements that close on time, on budget, and inside a quarter — not a fiscal year.
Hashi spent more than a decade running large-scale digital transformation and implementation programs inside global enterprises — the kind of work where the budget is measured in tens of millions, the stakeholder count is in the hundreds, and the success metric is always the same: did the business actually capture the value.
Since 2024 his focus has been AI transformation: helping operators identify where AI creates real margin, building the systems that deliver it, and standing up the governance that keeps it safe as it scales. He started Digiform to bring that same enterprise discipline to small and mid-market businesses — operators who have always been underserved by the firms that play at the top of the market.
He runs the practice on a single conviction: winning a relationship matters more than winning a contract. The customer-first mindset isn't a positioning line — it's the operating principle. If the engagement doesn't compound trust, it isn't worth taking.
Kim leads the firm's compliance and regulatory work. She's the principal consultant on every government initiative and contract — the person who keeps AI deployments inside the lines on procurement rules, data-handling, and the controls that public-sector buyers actually audit against.
Jeremy runs client and key accounts alongside Hashi. He owns the experience side of the engagement — making sure what got scoped is what gets shipped, and that the people on the client side feel that throughout the work.
Every one of those lights is a business someone built. Most of them have never had access to enterprise discipline — and that is the entire opportunity.
Six rules that govern every engagement we take. They aren't aspirational — they are how we evaluate whether a project is on track or off track. If we can't follow them, we don't take the work.
Not our hours. Not our retainer. Not our deck count. If the engagement doesn't move a number on the operator's income statement inside ninety days, we have failed and we will say so first.
Every operator we've ever met who ignored governance ended up rebuilding twice. The discipline is what makes the second deployment cheap, the third one fast, and the auditor's question a non-event.
We will tell a prospect their use case is wrong. We will end an engagement early if it isn't working. We will refer the work to someone better-suited if that's the answer. The compounding return on trust is the only return we underwrite.
The deliverable is always a working business outcome — a closed ticket queue, a renewed contract, an unblocked back office. The model is plumbing. We never lead with which model. We always lead with which problem.
No pyramid where the partner disappears after kickoff. The operator who scopes the work runs the steering committee, writes the memos, and answers the phone when something breaks. Behind them is a vetted delivery team — including engineers who build the production systems — so the senior person stays senior instead of getting buried in implementation.
Baselines before we start. Measurements at every milestone. Evidence packets at every board cycle. If we can't show the work, we haven't done the work — and that's the operator's standard, not just ours.
The operations audit and ROI diagnostic. We find where the margin actually is, score every use case for difficulty, and write the memo your board can read in twelve minutes.
Production deployments that run inside your business — not pilots, not sandboxes. Back-office automations, voice agents, workforce enablement. Working in eight weeks, measured in twelve.
The receipts your board, your insurer, and your auditor will ask for. Policy stack, performance tracking, fractional CAIO, NavigAIte platform — the discipline that lets the rest of it scale.
Most clients begin with a Find it audit — twelve pages, two weeks, a clear yes-or-no on whether AI is a worthwhile capital allocation. Some begin with a coffee. Both work.
