Service · Consulting

AI strategy that ships,
not just slide decks

We help Indonesian businesses find the right AI problems to solve, build the right roadmap to solve them, and execute without the six-month gap between strategy and results.

AI Readiness Assessment

Prioritized Roadmap

POC in 4 Weeks

4 wk

from first call to working proof of concept

3×

faster implementation when strategy is right first

80%

of AI projects that fail had no clear success criteria

100%

of engagements tied to a measurable business outcome

Live preview

Your AI roadmap, made visible

Every engagement produces a prioritized project plan — phases, timelines, owners, and success metrics — not a theoretical framework.

Phase 1 · Assessment

Phase 2 · Roadmap

Phase 3 · Proof of Concept

Phase 4 · Scale

Quick Win

AI maturity model

Where are you on the AI curve?

We start every engagement with an honest assessment of where the business sits today. The roadmap follows from that — not from a template.

Level 1

Exploring

No AI in production. Leadership is interested but unsure where to start or what is realistic.

Most common starting point

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Level 2

Piloting

One or two experiments running. Results are promising but nothing has reached production scale.

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Level 3

Deploying

At least one AI system is live and generating measurable value. The challenge is scaling and prioritizing what comes next.

We often start here too

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Level 4

Scaling

Multiple systems in production. The focus shifts to integration, governance, and building internal AI capability.

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Level 5

Leading

AI is embedded in core business processes. The team can build and maintain systems without full external dependency.

Scope of work

What every engagement includes

Every consulting engagement produces tangible deliverables — documents you keep, decisions you can act on.

AI Readiness AssessmentAn honest audit of your data maturity, team capability, infrastructure, and process quality — scored against what each AI initiative actually requires.

Prioritized use case listEvery AI idea mapped against business impact, implementation complexity, and data availability. Ranked. With a clear recommendation of where to start.

12-month AI roadmapPhase-by-phase plan with timelines, dependencies, team requirements, and budget estimates for each initiative.

Success metrics definitionNamed KPIs, target values, measurement methods, and review cadences — agreed before any build work begins.

Vendor & tool selectionIndependent recommendations on which AI platforms, cloud providers, and off-the-shelf tools fit your stack and budget. We have no vendor relationships that bias this.

Proof of concept buildFor the highest-priority use case, we build a working POC in 4 weeks — so you validate the approach on real data before committing to full implementation.

Team capability planWhat roles you need, what skills to hire for, what to train internally, and what to keep outsourced. Sized for your budget and growth stage.

Implementation oversightIf you build with your own team or another vendor, we stay on as a technical reviewer — catching problems before they become expensive rework.

How it works

From first call to working POC in 6 steps

No discovery phase that takes three months. No report that sits in a drawer. Every step produces something actionable.

Week 1 · 2 calls

Problem discovery

We map the business, the operations, and the pain points. We are not looking for where AI can fit — we are looking for where the biggest operational drag is and whether AI is the right tool for it.

Week 1–2

Data and infrastructure audit

We review your data sources, storage, quality, and accessibility. This step determines which AI use cases are technically feasible now and which require data work first.

Week 2–3

Use case scoring and prioritization

Every candidate use case is scored on business impact, data readiness, implementation risk, and time to value. The output is a ranked list with a clear recommendation — not a list of equally viable options.

Week 3

Roadmap design and alignment

We present the 12-month roadmap, success metrics, and budget estimates. You review, push back, and we adjust until the plan reflects your actual constraints and priorities.

Weeks 4–8

Proof of concept build

We build a working POC of the top-priority initiative on your real data. Not a demo. Something connected to your actual systems that you can test with real users and measure against the agreed success criteria.

Ongoing

Oversight and iteration

Monthly check-ins against the roadmap, quarterly roadmap reviews as the business changes, and on-call technical review for your internal team or any vendor you bring in for subsequent phases.

Who we work with

Built for businesses ready to move

We work best with clients who have a real operational problem, a budget to solve it, and a decision-maker who owns the outcome.

Mid-size enterprises

50–500 employees, established operations, and a leadership team that knows something needs to change but has not committed to a direction yet.

Growth-stage startups

Series A or beyond, with a product that generates data. AI can accelerate the core product, reduce support costs, or unlock a new customer segment.

Family businesses

Second or third generation leadership modernizing operations. The priority is usually cost reduction and data visibility — not AI for its own sake.

Businesses post-pilot

An AI pilot ran, results were promising, but the path from pilot to production is unclear. We help bridge the gap between a working demo and a running system.

Why Scoop

AI consulting that builds things, not reports

Most strategy consultants hand you a document and leave. We stay until something is running.

Criteria	Scoop Technology	Big 4 / Strategy Consulting	Doing it internally
Produces working software	✓	✗	~
Indonesia-specific context	✓	✗	✓
Tied to measurable business outcomes	✓	~	~
POC within 4–8 weeks	✓	✗	~
Independent vendor recommendations	✓	✗	✓
Accessible budget for SMEs	✓	✗	~
Stays through implementation	✓	✗	✓

Frameworks & tools

What we work with

We recommend tools based on your data, team, and scale — not based on what we already know.

Python

OpenAI / GPT-4o

TensorFlow

PyTorch

scikit-learn

Hugging Face

Microsoft Azure AI

Google Vertex AI

AWS SageMaker

MongoDB Atlas

PostgreSQL

Figma

"We had talked about AI for two years without a single project making it to production. In three months with Scoop, we had a working system on the line and a clear plan for what comes next. The difference was that they started with the business problem, not the technology."

Rudi Wibowo

COO, PT Maju Bersama Industri · Bekasi

Start here

Not sure where to start?
That is exactly why we exist.

Book a free 45-minute AI readiness call. We will tell you honestly where your business sits today, what is realistic in the next 90 days, and what the first step looks like — before you commit to anything.

Book a free AI readiness call See case studies

AI strategy that ships,not just slide decks