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Ankor

// AI Readiness Assessment detailed page in progress

Find out what is actually blocking your first production AI win.

A two-week structured assessment across strategy, data, talent, governance, and infrastructure — with a scored report and a sequenced action plan.

Book a call See how we work

// Who this is for

Built for teams who are past the experiment phase.

01

Mid-market CEOs and COOs deciding whether to invest in AI before funding it.

02

CTOs who need an external benchmark before going to the board.

03

Enterprise digital leads building the internal case for an AI program.

// What we deliver

The scope, in plain language.

Every engagement is scoped against your business outcome, not a fixed menu. What you see below is the typical shape — we tighten it with you in the first week.

  • Strategy audit: use-case identification, ROI modeling, competitive positioning.
  • Data audit: quality, lineage, consent, residency, and availability for target use cases.
  • Talent audit: in-house capability gaps and realistic staffing paths.
  • Governance audit: policy, compliance, risk posture, and AI ethics framework.
  • Infrastructure audit: compute, tooling, observability, and ops maturity.

// How we work

The Ankor 7-stage framework, applied to ai readiness assessment.

  1. 01
    Discover

    Align on business outcome, constraints, and success metric.

  2. 02
    Define

    Pin down scope, architecture, and the evaluation bar.

  3. 03
    Design

    Model, data, and UX design — with trade-offs on the table.

  4. 04
    Data

    Audit, remediate, and pipe the data the build actually needs.

  5. 05
    Develop

    Ship the system in small, testable increments against the eval bar.

  6. 06
    Deploy

    Rollout with shadow mode, guardrails, and rollback.

  7. 07
    Drive

    Operate, measure, and iterate — handoff or retainer.

// Outcomes you can expect

Ranges, not guarantees. Specific, not boastful.

2 weeks

Typical engagement length from kickoff to read-out.

Scored readiness report

With an action plan sequenced by impact and dependency.

Board-ready output

Readable by non-technical executives without losing engineering rigor.

// Why Ankor

A decade of shipping software, repointed at production AI.

10
years shipping software
190+
clients delivered
260+
products shipped
800K+
daily users served

Serving clients across APAC, the US, and EMEA.

Detailed page coming soon

This service is active — we are writing the full page for a future release. In the meantime, the scope, personas, and outcomes above are accurate. Contact us for a conversation.

// FAQ

Questions we get a lot.

Is this service page complete?

The page is live with scope and outcomes. A longer write-up with a sample report outline is being published in the next content phase.

Do we need to have an AI strategy before doing this?

No — this is often the input that produces the strategy. If you already have a strategy, consulting is the better next step.

Who takes part from our side?

Typically 6–10 stakeholders across exec, product, engineering, data, and compliance for interviews. Engineering time is light — under a day total.

// Ready to ship?

Let's talk about what to build first.

Short call. No deck. We will tell you honestly whether we are the right team for your problem.

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// Related services

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Generative AI Consulting

Generative AI, applied with taste and judgment.

Opinionated generative AI use-case selection, build vs. buy, and workflows that preserve quality.