Merjora's AI consulting covers the decision layer: understanding how the business actually operates, identifying where AI could change cost, speed or capacity, quantifying each candidate, and producing a roadmap that a finance director and an operations lead can both sign. We are vendor-neutral, so the recommendation can be a process change, a conventional automation, or nothing at all.
The consulting failure mode worth avoiding
Two versions of AI consulting dominate the market. One produces a strategy deck with no delivery path. The other produces delivery with no business case, usually shaped around whatever the supplier builds well.
Both leave the same gap: nobody can say, twelve months later, what the money bought. Closing that gap requires a baseline agreed up front and a measurement date set at the same time as the go-live date.
What the engagement covers
Business process analysis — how work really flows, including the handovers nobody documents
Opportunity discovery across revenue, cost, cash and capacity
Quantification against a baseline agreed with finance
Prioritisation on impact, feasibility, data readiness, risk and absorption
An implementation roadmap with owners, sequencing and review points
Governance and risk design, including EU AI Act considerations where relevant
How Merjora differs from a generic AI consultancy
Where the approach diverges
Common approach
Merjora
Starts from AI capabilities
Starts from workflows, volumes and cost
Recommends what the firm can build
Vendor-neutral; may recommend no build at all
Single ROI figure in a deck
Value range, assumptions and confidence level
Success measured at go-live
Success measured at a scheduled re-measurement date
Strategy detached from delivery
Roadmap with owners, systems and review points
Built for European mid-market realities
Most of the AI consulting market is priced and structured for large enterprises with transformation offices and data teams. European companies of 50 to 500 people have neither, and the method has to reflect that: fewer processes examined properly, one accountable owner per improvement, and a change portfolio the organisation can actually absorb.
Data protection is treated as part of the design rather than a later review. Where a process touches personal data, the assessment records the purpose, the data involved and the review point before anything is built.
What you receive
Process and opportunity map with quantified baselines
Prioritised opportunity portfolio with value ranges
Business case for the leading opportunities
Implementation roadmap with owners and sequencing
Risk, governance and review design
Business impact
A decision you can defend to a board with the assumptions attached
Fewer projects started, more projects finished
Clear separation between hours released, cost avoided and cash effect
An internal measurement habit that survives the engagement
Where this is the wrong fit
Buyers who want a technology recommendation without examining the process
Programmes where the conclusion has already been decided
Companies seeking staff augmentation for an existing build
Frequently asked questions
What does AI consulting actually include?
Process analysis, opportunity discovery, quantification against a baseline, prioritisation, and a roadmap. Implementation is a separate decision that follows the evidence.
Are you tied to particular AI vendors?
No. Recommendations are vendor-neutral, and a recommendation to change a process or to do nothing is a legitimate outcome.
Do you work with smaller companies?
Yes — European SMB and mid-market companies are the primary focus, and the method is scaled to organisations without a transformation office.
How is progress measured after the engagement?
Every recommendation carries a metric, an owner and a re-measurement date agreed before the work starts.