Seven ways to engage, packaged for execution

Every Fetch engagement is outcome-driven. We don't deliver strategy decks — we deliver deployed AI workflows, trained teams, and measurable results.

Most Popular

AI Adoption Sprint

30 days from ambition to deployed AI workflows.

30 days · fixed price
The Problem

You know AI matters but don't know where to start — or you've been exploring it for months without concrete progress.

What We Do

We embed a transformation pod for 30 days. We map your workflows, identify AI opportunities, deploy 1–2 redesigned processes, train your team, and deliver a complete adoption roadmap.

Who It's For

Singapore SMEs and mid-market businesses that want to prove AI value quickly before committing to a larger engagement.

Outcomes
  • 1–2 deployed AI workflows
  • Team trained and confident
  • AI opportunity matrix across all operations
  • 6–12 month adoption roadmap
  • ROI impact summary
Deliverables
  • Workflow assessment report
  • AI opportunity matrix
  • Deployed AI workflows
  • Training programme (3–4 sessions)
  • AI adoption roadmap
  • ROI impact summary

Workflow Redesign

Map and redesign your operations before you automate the wrong things.

The Problem

Most AI failures happen because businesses automate broken workflows. The result is faster bad processes, not better operations.

What We Do

We conduct a structured workflow mapping exercise across your target business units, identify bottlenecks and AI opportunities, and redesign the workflows for AI integration before any tools are deployed.

Who It's For

Businesses that want to understand their operations deeply before investing in AI tooling.

Outcomes
  • Clear workflow documentation
  • Bottleneck and inefficiency identification
  • AI-ready process designs
  • Prioritised implementation roadmap
Deliverables
  • Current-state workflow maps
  • Future-state process designs
  • AI opportunity assessment
  • Implementation priority matrix

AI Implementation Support

Deploy AI tools that integrate with your systems and that your team will actually use.

2–4 week stabilisation
The Problem

Buying AI software is easy. Getting it to work inside your specific operations — with your data, your systems, and your team — is where most implementations fail.

What We Do

We take responsibility for the full implementation: tool selection, configuration, integration with existing systems, and go-live support. We don't hand over a manual and leave.

Who It's For

Businesses that have identified AI opportunities but need expert support to deploy and integrate tools properly.

Outcomes
  • AI tools deployed and integrated
  • Workflows operational within agreed timeline
  • Team onboarded and using the tools
  • Ongoing support during stabilisation
Deliverables
  • Tool selection recommendation
  • Configuration and integration
  • Go-live support
  • Stabilisation period (2–4 weeks)
  • Handover documentation

Team Upskilling & Enablement

Build AI capability that stays in your organisation long after we leave.

3–6 sessions · 4 weeks support
The Problem

AI adoption fails when teams don't understand or trust the tools. Without structured upskilling, adoption stalls regardless of how good the technology is.

What We Do

We design and deliver a structured AI upskilling programme tailored to your team's roles and the specific tools being deployed. Training is practical, not theoretical — your team learns by doing.

Who It's For

Businesses deploying AI tools who need their teams to adopt and use them confidently.

Outcomes
  • Team confident using AI tools
  • 94% team adoption at 60 days, the Sprint average
  • Internal champions identified and developed
  • Sustainable AI capability built
Deliverables
  • Role-specific training curriculum
  • Practical training sessions (3–6 sessions)
  • Team AI readiness assessment
  • Post-training support (4 weeks)
  • Internal champion programme

Department-Specific AI Rollout

Targeted AI deployment for one business unit — prove value before scaling.

The Problem

Organisation-wide AI transformation is complex and expensive. Many businesses need to prove value in one department before committing to a broader rollout.

What We Do

We focus entirely on one department or business unit — operations, customer service, finance, HR — and deliver a complete AI transformation for that unit. The result becomes the proof of concept for the rest of the organisation.

Who It's For

Mid-market and enterprise businesses that want to pilot AI in one area before scaling.

Outcomes
  • One department fully AI-transformed
  • Clear ROI demonstrated
  • Replicable model for other departments
  • Internal playbook for future rollouts
Deliverables
  • Department workflow assessment
  • AI tool deployment
  • Team training
  • ROI measurement
  • Replication playbook

Managed AI Transformation

An embedded partner for sustained, organisation-wide AI transformation.

6–18 months
The Problem

Large-scale AI adoption requires sustained effort over months. Most businesses don't have the internal capacity to drive this while running their operations.

What We Do

We act as your embedded AI transformation partner — providing ongoing pod support, managing the transformation programme, and ensuring adoption and results are sustained over time.

Who It's For

Enterprise businesses committed to organisation-wide AI transformation over 6–18 months.

Outcomes
  • Organisation-wide AI adoption
  • Sustained transformation programme
  • Internal AI capability built
  • Measurable ROI across all departments
Deliverables
  • Transformation programme management
  • Ongoing pod support
  • Quarterly progress reviews
  • Organisation-wide adoption tracking
  • Executive reporting

Custom AI Product Build

When the redesigned workflow needs real software, the same team builds it.

The Problem

Some workflows cannot be fixed by configuring an off-the-shelf tool: they need an agent pipeline, an integration layer, a data platform or an operations system that does not exist yet.

What We Do

We scope and build production software — applied AI and agentic systems, enterprise operations platforms, health and IoT data platforms, regulated fintech — as a fixed-scope build or an ongoing retainer. Every build starts with a clickable mockup and a PRD you sign off before any commitment.

Who It's For

Businesses and institutions whose AI opportunity is a product, not a plug-in — from a Sprint that outgrew its tools to a platform programme.

Outcomes
  • A product you approved as a mockup before it was built
  • Production software with docs, runbooks and tests from day one
  • Senior engineers accountable at every gate
  • A repository your team — or ours on retainer — can operate
Deliverables
  • Clickable mockup + PRD (V1 → sign-off)
  • Fixed-scope proposal traced to the PRD
  • Gated build with two-track review
  • Handover pack: architecture, runbooks, environments, tests
  • Optional retainer or team augmentation

Every engagement is delivered by a pod — a small, senior, multi-role team.

Assembled for your engagement, embedded in your operations, outcome-driven. Standard composition:

  • AI Workflow Strategist — Leads the engagement. Maps workflows, identifies AI opportunities, and designs the transformation approach.
  • Business Process Analyst — Documents current-state processes, interviews stakeholders, and builds the workflow maps and redesign specifications.
  • Implementation Specialist — Configures and deploys AI tools, manages integrations, and ensures technical go-live.
  • Training & Change Lead — Designs and delivers the team upskilling programme and manages change adoption throughout the engagement.
  • Specialist Support (Optional) — Domain experts added for specific needs — industry specialists, data engineers, or sector-specific AI tool experts.
Pods vs consulting vs staffing

Operations AI Pod

Logistics, dispatch, inventory, reporting, and operational workflows

4–8 weeks · Logistics, distribution, manufacturing, and multi-site operations

Customer Service AI Pod

Response automation, ticket routing, knowledge retrieval, and customer-facing workflows

4–6 weeks · Customer operations, service businesses, and support-heavy teams

Back Office Productivity Pod

Document processing, admin automation, reporting, and internal workflow efficiency

3–6 weeks · Finance, HR, professional services, and admin-heavy operations

Leadership AI Enablement Pod

Executive AI literacy, strategic AI adoption planning, and leadership team upskilling

2–4 weeks · Leadership teams preparing for organisation-wide AI adoption

Not sure which solution is right for you?

Book a 45-minute strategy call. We'll assess your situation and recommend the right starting point.

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