Enterprise AI consulting
Bring AI from trials into the work your team can run.
TekaaS starts with a real business question: choose a scenario, validate value, clarify delivery and operating responsibility, then prepare the team to take over. Software, field engineering, learning and industry specialists support the agreed scope.
- Business questionA goal, a workflow and known constraints
- Consulting and validation
- Compare scenarios
- Test a bounded task
- Review evidence
- Decision and handoffChoose the next step and its owner
What needs a decision now?
Many scenarios: where should we begin?
Compare the business task, investment conditions and dependencies to choose a first validation.
Explore this serviceThe demo works: does it create value?
Observe real use, result quality, human effort and exceptions before committing more resources.
Explore this serviceWho will own the result?
Assign business, engineering and operating roles so people can use, maintain and improve the work.
Explore this serviceWhat can reduce repeated delivery?
Find recurring materials and decisions, then agree who may reuse and update them.
Explore this service
Consulting for the next business decision
Each engagement can be scoped on its own or combined with another. Deliverables depend on the agreed work.
AI planning and decision support
- Management question
- Many possible use cases: where should we start?
- Engagement scope
- Interview owners, map the workflow, compare scenarios and identify dependencies and constraints.
- Representative deliverables
- Scenario priorities, an initial scope, evidence gaps and an action route.
- Decision support
- Investigate, validate, change direction or pause.
Business value validation
- Management question
- The demonstration works: is further investment justified?
- Engagement scope
- Define a baseline and evaluation criteria, test a bounded task, collect user feedback and review results.
- Representative deliverables
- Validation plan, observation record, limits and next-step recommendation.
- Decision support
- Expand, gather more evidence, adjust or stop.
AI operating model and team capability
- Management question
- Who will use, maintain and improve the result?
- Engagement scope
- Design roles and processes, knowledge stewardship, exception handling, learning and handoff.
- Representative deliverables
- Roles and workflow, knowledge rules, capability plan and handoff arrangements.
- Decision support
- Choose an operating arrangement and identify support to scope separately.
Illustrative scenario comparison, not a client result
Find prior project experience
Task: help a delivery team locate relevant past decisions. Check source rights, accuracy, access and update ownership. Validate a bounded set of searches with users, then decide whether knowledge organization merits expansion.
Draft delivery material with review
Task: prepare a first draft from approved sources. Check template, factual review, confidentiality and sign-off roles. Validate on a bounded sample, then decide whether to revise the workflow, train the team or stop.
From first discussion to team handoff
Define the question
Identify the business owner, current workflow and result to improve.
Agree scope
Agree tasks, participants, information boundaries and acceptance criteria.
Analyse and validate
Compare options or test a bounded task, recording observations and exceptions.
Review and hand off
Review results and limits with the client, then transfer guidance and owners.
Choose what follows
Decide whether to expand, revise, pause or scope further support separately.
Capabilities that support the agreed work
Software and knowledge
Organise permitted sources and workflows when a tool is useful.
Field engineering
Examine integration, quality, exceptions and handoff in a bounded task.
Learning and teams
Build practice around real roles and reviewable work products.
Industry specialists
Test assumptions and choices before broader investment, within the agreed scope.
Research and insights
Why Enterprise AI Stalls After the Pilot
A pilot establishes technical possibility; it does not establish operating ownership or adoption readiness.
Read the perspectiveThe FDE Team Is a Core Execution Capability—Not the Whole Operating Model
FDE proximity and technical range are essential, but they do not replace product, commercial, governance, customer, or executive authority.
Read the perspectiveLeadership Is an Operating Requirement for Enterprise AI
Sponsorship creates permission; operating leadership makes and owns the decisions that cross-functional boundaries.
Read the perspective
Start with one business question
Describe how the work is done now, what you want to improve, and known constraints. Do not send confidential material in the first enquiry.