Enterprise · AI adoption advisory

Enterprise AI adoption advisory

Diagnose operations and processes first, then plan an AI adoption roadmap — no AI for its own sake. From opportunity mapping and a 90-day action plan to KPIs and PMO, we turn AI adoption into an auditable corporate project.

Diagnose before selling systems90-day roadmap & KPIsTech delivery via Adata
Book a 30-min discovery call View work

Common pain points

You want AI but don’t know where to start

  • You don’t know which processes are worth automating, or where to begin.

  • You fear buying the wrong tool and ending up with another system nobody opens.

  • You lack an advisor who can break an AI project into milestones, KPIs and PMO.

  • You lack a translator between product, process, technology and project management.

How we help

Diagnose first, then plan an auditable AI adoption route

We own the diagnosis, process design, 90-day roadmap, KPIs and project PMO; technical delivery is handled by Adata or an external team. A two-to-three week mapping finds the highest-priority AI adoption opportunities.

  • AI operations health-check: interviews, process and tooling audit, an opportunity list with priorities.
  • 90-day adoption roadmap: milestones, KPIs, resource allocation and risk control.
  • Workflow adoption advisory: process design, tool selection, internal liaison and impact tracking.
  • Project PM: requirements, specs, vendor management, sign-off documents and training.
  • PMO & grant integration: shaping the AI project into an approvable, auditable plan with delivery control.

Packages & starting price

Enterprise AI adoption ladder

From a health-check to a delivery PM, staged by company size and process complexity.

AI operations health-check

from NTD 120,000

Interviews, process and tooling audit, AI opportunity list, risks and priorities.

AI workflow adoption advisory

from NTD 150,000/mo

Process design, tool rollout, internal training, KPI tracking and PMO cadence.

AI project delivery PM

from NTD 500,000/project

Requirements, specs, vendor management, sign-off documents, training and a 90-day roadmap.

Prices shown are starting points. Actual quotes depend on scope, partners and delivery depth; engagements are confirmed by written quote and contract. A grant-backed AI package (NTD 250,000 + PMO 80,000/mo) can be added; technical development is quoted separately by Adata.

A good fit if

  • SMEs, service businesses, chains, hospitality, F&B and local brands.
  • Companies with an AI idea or tools already bought but no process-change or project-management capacity.
  • Teams that need a 90-day roadmap, KPIs and PMO — not just another system purchase.

Not a fit if

  • You want one all-powerful AI system but won’t map your processes.
  • You treat AI as a marketing slogan and don’t care about adoption or ROI.
  • There is no internal contact to support interviews and rollout.

How we work

From one call to lasting results

  1. 1

    30-min discovery

    Confirm the problem, budget and decision-maker (free).

  2. 2

    Paid diagnostic

    Map the status quo, stakeholders and resources into priorities and a 90-day roadmap.

  3. 3

    Advisory / PMO

    Turn the diagnostic into delivery: cadence, strategy docs, adoption tracking and KPIs.

  4. 4

    Rollout & annual

    Project rollout, training, annual advisory — and turning results into public cases.

Deliverables

What you receive

  • AI opportunity list with priorities
  • Process & tooling audit report
  • 90-day adoption roadmap & KPI dashboard
  • Tool selection & vendor management documents
  • PMO meeting records & milestone tracking
  • Sign-off documents & impact review

FAQ

Enterprise AI consulting FAQ

What is enterprise AI consulting?

Enterprise AI consulting maps processes and tools first, then chooses workflows, tooling, training and KPIs — instead of buying a system first. Twouring owns diagnosis and PMO; tech delivery can go through Adata or a named vendor.

How do AI consulting, training and building a system differ?

Consulting answers where to start and what to prioritise; training builds shared language; build ships integrations once the process is clear. They are different purchases and should not be sold as one magic package.

Can company data go into ChatGPT or Copilot?

It depends on product terms, account type and data classification. Personal data, unpublished finance and client contracts should not go into unapproved tools. See the insight article on company data in ChatGPT / Copilot.

Start with a 30-minute discovery call to find the next step worth taking

We do not pitch first. We assess whether the problem is clear, whether there is budget and a decision-maker, and give you an actionable initial direction.

Book a 30-min discovery call [email protected]