Mid-market firms have adopted AI almost universally, yet only a handful run it at scale. The gap is legacy systems and data. We close it, on your premises, with 22 years of modernization experience behind every engagement.
Market signal · 2026
Every survey of the mid-market tells the same story: near-universal experimentation, almost no scaled production, and legacy integration as the wall in between.
Services
Each engagement is designed to lead naturally into the next, so you never buy more than the step in front of you.
A 2 to 4 week, fixed-price review of your systems, data and processes. You get an inventory, three prioritized AI use cases with business cases, and a 12-month modernization roadmap your board can fund.
Migrate on-premises databases, ETL jobs and reporting to cloud platforms and a modern data stack, with AI-assisted code migration to cut the timeline and documentation that survives the handover.
One production workflow, automated with AI and measured against a baseline. Document processing, customer-service copilots, analytics agents and code migration accelerators, each shipped with governance and security controls.
Part-time, on-site technical leadership for firms that cannot justify a full-time hire. Two to three days a week of architecture decisions, vendor management and delivery oversight.
How we work
Half of our assessments are expected to convert into an implementation, because the roadmap already has the next sprint scoped and priced.
45 minutes, free. You leave with a one-page summary of what we heard.
2 to 4 weeks on-site. Inventory, use cases, roadmap, executive presentation.
One application or pipeline moved to a modern platform in 8 to 12 weeks.
One workflow automated and measured against its baseline.
Fractional leadership keeps the roadmap moving and the governance intact.
AI Intelligence · October 2026
We track the analyst and survey data so you do not have to. Refreshed monthly. Figures are quoted from the named sources; samples differ and should not be pooled.
Gartner now forecasts worldwide AI spending near $2.7 trillion in 2026 and about $3.6 trillion in 2027. Most of the enterprise share has to go to data, integration and infrastructure before any model delivers value.
Gartner sizes AI agents and assistants at roughly $29 billion in 2026, more than doubling in 2027, and expects agentic spend to pass chatbot spend for the first time. The era of the demo is ending; buyers want shipped workflows with an audit trail.
Gartner expects more than 40% of agentic AI projects to be scrapped by end of 2027, driven by unclear ROI and weak data foundations. Mid-market abandonment rates rose from 41% to 46% year over year.
Among 401 IT leaders at firms with 200 to 5,000 staff, 82% have AI in production but only 26% call it scaled and governed enterprise-wide. Governance is the work, not the afterthought.
McKinsey's State of AI 2026 finds 37% of organizations see a positive EBIT contribution, unchanged from 2025. Larger firms scaling agents rose from 27% to 40%; smaller firms stayed flat at 22%. The mid-market is where the catch-up happens.
Manufacturers lead every other segment in citing legacy integration as the blocker, against a 41% mid-market average, and 45% still work from siloed plant data. This is why asset-heavy firms are our first target sector.
Industries
Decade-old ERPs, siloed MES and WMS data, nightly batch. We integrate, modernize and put AI on forecasting, quality and maintenance.
Regional banks and insurers carrying compliance reporting on legacy warehouses. We modernize the platform and automate the reporting chain.
Intake, claims, contracts and case files are document-heavy and rules-driven, the ideal first AI automation pilot with a measurable baseline.
Need a vetted senior architect for a client program? We subcontract through partner firms with the same on-site, senior-only standard.
Case studies
Client names withheld under NDA. Details available on request during a discovery call.
Readiness assessment followed by a modernization sprint moving legacy ETL jobs to a governed cloud data platform, with AI-assisted code conversion and human review. Full write-up available on request.
An AI automation pilot for document classification and extraction with human-in-the-loop review, measured against the manual baseline, then expanded under a fractional architect retainer. Full write-up available on request.
Pricing
Indicative ranges for planning. Every engagement starts with a written scope and a change-order process.
Inventory, three use cases with business cases, 12-month roadmap, executive presentation.
One application or data pipeline migrated to a modern platform, documented and handed over.
One production workflow automated with AI and measured against its baseline.
On-site technical leadership without the full-time hire.
Senior consulting capacity for integrators and staffing partners.
The discovery call is free and ends with a one-page summary of what we heard, whether or not we work together.
Book the callAbout
MSB Consultants was founded in 2004 and has operated in good standing ever since. Our public brand has long been "Data Solutions"; the practical work has always been modernizing how organizations store, move and use data. Today that means applying AI to the same problems, with the discipline of someone who has carried a migration program from kickoff to handover many times.
Every engagement is led personally by the principal consultant, with vetted senior subcontractors brought in when the scope calls for it. No juniors learning on your budget, no offshore hand-offs.
Contact
45 minutes, free, no deck. We ask three questions: is there a legacy system blocking an AI or data goal, is there budget this fiscal year, and who makes the decision.