Korim Index · Monthly analysis · Updated
What should Professional Services buyers pay for when AI can help produce the analysis and report: fewer hours, a reusable advisory method, or an accountable service? For October, focus purchasing decisions on the last two. The commercial test is whether a firm can turn its expertise into a repeatable client deliverable without losing control of evidence, judgement and responsibility. Faster production matters, but it is an incomplete basis for either a client fee or a technology investment.
Top opportunities this month
- Package one advisory method
Target consultancy managing partners and practice heads with a paid, fixed-scope build around one repeatable engagement.
- Sell independent acceptance testing
Approach enterprise procurement leads, risk heads and professional services engagement sponsors with a separately scoped validation commission before rollout.
- Contract for ongoing service control
Target client operations directors and advisory relationship partners with a bounded managed service after acceptance.
Korim's view
Korim’s view is to separate production efficiency from the value of professional advice. Prioritise narrow, repeatable engagements with clear acceptance criteria, then price implementation, validation and ongoing operation separately. Do not sell an unrestricted promise of better decisions. Sell a defined service with named reviewers, documented limits and measurable delivery standards. Assess its economics after including partner review, exception handling and maintenance, rather than treating every hour of automated drafting as a bankable saving.
What changed this month
Repeatable consulting tasks face a software alternative
Specialist developers are building software for small and medium-sized consultancies that collects client data, analyses it and formats reports. That establishes a practical alternative for parts of engagement production, rather than evidence that whole advisory relationships can be automated. The strategic question is which elements of a consultancy’s method deserve investment as reusable intellectual property, and which are routine processing that should be bought rather than rebuilt.
Delivery capability matters more than partnership lists
All 10 AI consulting providers in one evaluation had strong technology partnerships across the technology stack. Separately, two-thirds of enterprises surveyed expected technology service providers to build and operationalise priority agentic AI use cases, while one-third were already scaling agentic deployments. These are enterprise expectations, not a measure of consultancy purchasing budgets. For advisers competing for implementation work, the useful differentiator is responsibility for a functioning workflow, not simply access to technology partners.
Assurance belongs in service economics
A 2025 survey of 360 respondents found that organisations conducting regular AI performance and compliance assessments were over three times more likely to achieve high GenAI value. This general survey provides context, not proof of causation. Separately, case studies from a global financial institution show how apparently strong GenAI performance can conceal operational and regulatory risks when output changes lack transparency, traceability or governance oversight. That banking experience supports scrutiny of controls, not a universal regulatory claim.
Where the opportunity lies
Package one advisory method
Target consultancy managing partners and practice heads with a paid, fixed-scope build around one repeatable engagement. Deliver a client data specification, documented method, working tool, reviewer checkpoints and client report template. Agree ownership and permitted reuse of the method before development starts. Make wider deployment depend on acceptance against historical cases and a calculation of delivery margin after expert review. Sell consistency and a reusable service asset, rather than a generic AI platform.
Sell independent acceptance testing
Approach enterprise procurement leads, risk heads and professional services engagement sponsors with a separately scoped validation commission before rollout. Deliver a representative test set, an error taxonomy, traceable results and a record of unresolved exceptions. Define pass criteria jointly with the business owner, including when a qualified professional must intervene. Keep the testing decision separate from the implementation sales incentive. Price the evidence package and retesting obligations explicitly, rather than burying assurance inside an undifferentiated transformation fee.
Contract for ongoing service control
Target client operations directors and advisory relationship partners with a bounded managed service after acceptance. Specify monitoring frequency, change approval, escalation ownership and access to expert review. Deliver a service register, exception log, performance report and documented release decisions. Use a recurring fee for defined coverage, with separate charges for material scope changes. Link renewal to sustained quality, turnaround and total delivery cost. Reserve outcome-linked fees for results the provider can genuinely influence and both parties can measure.
What could weaken the case
- Productisation fails commercially when client variation and partner rework absorb the production saving. Stop expansion where comparable engagements do not improve contribution after review and support costs.
- Survey expectations do not establish signed demand, and the assessment survey does not show that audits alone cause better value. Require paid acceptance and renewal evidence before expanding delivery capacity.
- Keep assurance claims within the agreed test scope. Banking case studies do not establish legal, accounting or consulting obligations, and successful testing cannot guarantee every future output.
What to watch next
- Look for paid pilots that convert into repeat engagements using the same method with less bespoke work.
- Track whether acceptance criteria, evidence access and named review responsibilities appear in actual client contracts.
- Watch renewals alongside exception volumes, expert review time and margin after maintenance, not usage alone.
Research behind the analysis
Specialist developers are building software for small and medium-sized consultancies that automates consulting tasks including collecting client data, analysing it and formatting reports.
Financial Times ·All 10 AI consulting providers evaluated by Forrester had strong technology partnerships spanning model builders, hyperscalers, data infrastructure suppliers, software companies and security platforms.
Forrester ·BCG found that two-thirds of enterprises surveyed expected technology service providers to build and operationalise priority agentic AI use cases, while one-third were already scaling agentic deployments.
BCG ·A Gartner survey of 360 respondents found that organisations conducting regular audits and assessments of AI system performance and compliance were over three times more likely to achieve high GenAI value than those that did not.
Gartner ·Deloitte’s case studies from a global financial institution’s GenAI validation journey show that seemingly high-performing systems can introduce operational and regulatory risks, including compliance and audit challenges when outputs change without transparency, traceability or governance oversight.
Deloitte ·