For finance, operations and automation leaders assessing a process problem before committing to a solution. Oakmere tests the evidence, potential value and delivery constraints, then helps you decide what to do next.
A useful assessment should not just ask clever questions. It should leave you with a clearer decision. This example is illustrative and uses hypothetical data.
The customer is not asked to decide whether this is an AI opportunity. Oakmere works forward from the problem, desired outcome and evidence.
Before investing: confirm exception volumes, investigation effort, root-cause categories and system accessibility.
The purpose is not to manufacture a technology project. It is to reach the most defensible next decision based on the evidence available.
The opportunity is sufficiently clear and valuable to move into qualification or delivery planning.
There may be a good case, but specific evidence should be collected before committing investment.
The opportunity may need process, data or scope changes before technology becomes the right answer.
Value, evidence, feasibility or risk does not currently justify further investment.
You do not need to arrive with a solution. The assessment works from the transformation need toward the most appropriate intervention.
What is happening today and why does it matter?
What would materially better look like?
Volume, effort, risk, controls, data and broader business value.
Process, data, workflow, automation, AI or a hybrid approach.
The assumptions and decisions that matter before investment.
The Opportunity Brief is the point where the assessment becomes a decision artefact: it shows the value scenarios, the assumptions that drive them, the evidence quality, the likely solution pattern and exactly what should be validated next.
The assessment is designed to stand on its own. You do not need to buy consulting to use Oakmere. Deeper human support is optional.
A focused assessment of one business problem or improvement opportunity.
A decision-ready brief that quantifies the economics and makes the assumptions, uncertainty and next validation steps explicit.
Francis Donohue reviews the Opportunity Brief and runs a focused 60–90 minute working session. Oakmere will contact you within three working days to arrange the session. The updated decision artefact will be delivered within three working days after the session and receipt of any agreed outstanding inputs. The aim is a defensible proceed, reshape, validate-further or stop decision, not a sales pitch.
Oakmere uses AI where it is useful, but the assessment is structured around controlled logic, evidence quality, explicit decision rules and guardrails.
The next question depends on what you have already told Oakmere. It probes uncertainty rather than following one static questionnaire.
Core calculations, thresholds and business rules are handled deterministically rather than left entirely to a language model.
Known facts, estimates, assumptions and unknowns are treated differently so weak evidence is visible rather than hidden.
Where deeper domain logic exists, Oakmere adds process-specific questions, risks, controls, value drivers and solution patterns.
Relevant authoritative standards and frameworks can inform a pack, but Oakmere does not use them to imply that an ROI estimate has been externally validated.
Clinical, legal, employment, credit, biometric and safety-critical decisions are restricted and require appropriate specialist judgement.
A general AI assistant can give you a useful answer. Oakmere puts the opportunity through a defined assessment process: evidence is classified, value logic is controlled, domain rules and guardrails are applied, and the output is structured around a business decision rather than a single prompt.
No email is required to begin. Oakmere Learning is designed around structured, de-identified opportunity signals rather than treating raw business descriptions as reusable knowledge, and you can exclude an assessment from learning. Read the privacy approach.
Every assessment uses Oakmere's core transformation framework. In selected areas, domain-aware logic adds deeper questions around process, value, risks, controls and likely technology requirements.
Oakmere first identifies what the solution needs to be capable of. Named vendor selection belongs later, once architecture, licensing, security, data, procurement and the existing technology estate are understood.
This keeps the assessment independent. A technology relationship should never determine the diagnosis.
Founder, Oakmere.ai
Oakmere is built around a simple operating principle: start with the business problem, define the desired outcome, understand the value, and only then decide what technology belongs in the solution.
Francis has worked from several sides of that decision, including leading enterprise automation programmes at Citigroup, working inside a global automation technology company, building Customer Success organisations, and advising leadership teams on transformation opportunities.
The product is designed to make that discipline available earlier in the decision process, before organisations spend heavily on discovery, technology or implementation.
View Francis on LinkedInThe assessment stands on its own. If the opportunity warrants a workshop, deeper qualification, solution shaping or ongoing advisory support, Oakmere can help with that too.
Facilitated sessions that bring business teams together around problems, desired outcomes, value and a prioritised set of next steps.
Independent help with opportunity qualification, roadmaps, operating models, investment decisions and solution shaping.
Selected advisory support for technology companies strengthening customer engagement, value realisation, account growth and executive conversations.
Assess it first. You will get a clearer view of whether the opportunity deserves investment and what the right next step should be.