Solutions AI consulting

AI CONSULTING

Before implementing AI, find where it can create real value.

We analyze processes, information, and decisions to identify use cases where AI can reduce work, accelerate analysis, or expand operating capacity.
And where it should not be used.

Assess a process See how we assess
Process→Decision→Information→Constraints→OutcomeAI?

THE RIGHT QUESTION

NO

Where can we add AI?

YES

What part of the operation needs a capability we do not have today?

CRITERIA BEFORE TECHNOLOGY

Not every friction point needs AI.

AI may help when the work requires…

  • analyzing large amounts of information quickly;
  • interpreting documents, language, or knowledge;
  • classifying, prioritizing, or researching;
  • comparing context before making a decision;
  • handling exceptions that require judgment;
  • capabilities beyond traditional automation.

AI is probably unnecessary for…

  • fully deterministic rules;
  • moving data between two systems;
  • known calculations;
  • simple workflows;
  • compensating for a process that is not yet defined.

ASSESSMENT MAP

Technology is the last decision.

First, we verify the process, friction, available information, and the outcome that matters.

  1. 01 · PROCESSWhat happens today?
  2. 02 · FRICTIONWhat consumes time or capacity?
  3. 03 · DECISIONWhat needs to be interpreted, compared, or inferred?
  4. 04 · INFORMATIONWhat data, documents, and context are available?
  5. 05 · CONSTRAINTSPrivacy, security, latency, traceability, and infrastructure.
  6. 06 · OUTCOMEWhat should change in measurable terms?
  7. 07 · TECHNOLOGYNo AI / Automation / Integration / AI model / Agent / Local model

DECISION · AI OR NO AI

The problem sets the direction.

Move data between systemsIntegration

Execute a known ruleAutomation

Interpret documents, language, or knowledgeAI may help

Execute multiple steps using context and toolsAn agent may help

Sensitive information cannot leave the environmentEvaluate a local model

There is no concrete problemDo not implement yet

The architecture may be local, external, or hybrid. It depends on the sensitivity of the information and the organization’s actual constraints.

WHAT THE ENGAGEMENT CAN PRODUCE

A decision your team can execute.

Not every process needs the same deliverables. Scope follows the decision that needs to be made.

  1. 01Opportunity mapPotential use cases located within actual business processes.
  2. 02Priorities and a viable first caseValue, feasibility, risk, and dependencies ranked.
  3. 03Success criteriaWhat should change and how it will be verified.
  4. 04Data and constraintsRequired information, privacy, security, latency, and traceability.
  5. 05Technical directionA preliminary architecture and a build, buy, or integrate decision.
  6. 06Implementation planNext steps, controls, and an initial test where appropriate.

A valid outcome

Do not implement AI.

We may also conclude: integrate first, solve it without AI, or run a controlled test.

CONSULTING IS MORE THAN A DECK

The engagement ends with a concrete direction.

  • This case is worth pursuing.
  • This one is not.
  • This one needs integration first.
  • This can be solved without AI.
  • This deserves a controlled test.

EVIDENCE · ANONYMIZED R&D CASE

A constraint changed the architecture.

>75%reduction in research time
01 · CONSTRAINT

Internal restrictions prevented using public or external cloud services to process sensitive information.

02 · INTERVENTION

A research-assistance agent using a fully local, closed model.

03 · RESULT

Research time fell by more than 75%, without sending sensitive information to external cloud services.

These results reflect a specific implementation and do not imply identical outcomes in other projects.

NEXT STEP

Start with the process.

Tell us which decision, analysis, or task is consuming capacity. The first conversation locates the problem before selecting technology.

Assess a process You do not need a predefined AI use case.