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Ankor

// Generative AI Consulting detailed page in progress

Generative AI, applied with taste and judgment.

We help teams pick the generative AI use cases worth funding — across content, product, design, and operations — and wire them into workflows that hold up to scrutiny.

// Who this is for

Built for teams who are past the experiment phase.

01

Marketing and content ops leads building scaled content pipelines with quality guardrails.

02

Product leaders adding generative features (copy, image, code, synthesis) to existing products.

03

Operations leaders replacing template-driven manual work with supervised generation.

// 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.

  • Use-case portfolio: scored opportunities across content, product, and ops.
  • Build vs. buy analysis for each shortlisted use case.
  • Model, tool, and vendor selection with cost and quality benchmarks.
  • Human-in-the-loop process design to preserve quality and review.
  • Launch plan for the top 1–2 use cases with ROI targets.

// How we work

The Ankor 7-stage framework, applied to generative ai consulting.

  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.

Detailed scope and timeline available on request.

This service page is being expanded. Reach out for a scoping conversation.

Prioritized use-case portfolio

Not a wish list — scored, sequenced, and budgeted.

Defensible quality bar

With review workflows that scale.

// 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?

No — detailed content is being expanded. The scope and outcomes above are accurate.

How is this different from AI consulting?

AI consulting is broader (includes predictive, classical ML, retrieval, agents). Generative AI consulting is specifically for teams whose target use cases are generation-heavy.

Do you help with creative/content quality review?

Yes. Human-in-the-loop workflows are part of the engagement — the goal is scaled output without quality collapse.

// 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.