Three Paths Into AI Integration, Depending on Where You're Starting
Each engagement is designed as a self-contained unit โ with a defined scope, a realistic timeline, and deliverables your team can act on immediately.
Back to HomeA Methodology That Starts with Listening
Before any recommendation is made, we spend time in your organization โ observing workflows, talking with team members at multiple levels, and mapping the informal processes that don't show up on org charts. This observation period is not optional. It's what makes everything that follows useful.
Our three core engagements represent different entry points and different levels of organizational readiness. They can be taken sequentially or independently, depending on your situation.
Quality assurance runs through every engagement via stakeholder alignment reviews, documented deliverables reviewed before handover, and a structured feedback session at engagement close.
Observe
Map real workflows, not ideal ones
Identify
Find where AI adds real value
Enable
Build lasting internal capability
AI Workflow Audit & Optimization Mapping
A diagnostic engagement for organizations that suspect their existing workflows contain opportunities for AI-assisted improvement but are unsure where to begin. The team embeds observers in key operational areas, maps process flows in detail, and identifies repetitive, data-intensive, or decision-bottleneck stages where AI tools could add measurable value.
Key Benefits
- Produces actionable clarity without committing to any technology investment
- Effort-to-impact ratios prevent wasted effort on low-value AI applications
- Pilot project outline gives an immediate next step
- Serves as foundation for later change management work
Process Steps
Discovery session โ understand organizational context, key operational areas, and existing concerns (Week 1)
Embedded observation โ direct observation of workflows in targeted operational areas (Weeks 2โ3)
Opportunity mapping โ analysis, prioritization by effort-to-impact ratio (Week 4)
Deliverable review & handover โ final session presenting visual map, opportunity list, pilot outline (Week 5)
Deliverables
- Visual workflow map with AI opportunity annotations
- Prioritized opportunity list with effort-to-impact ratios
- Recommended pilot project outline
Investment
เธฟ8,500
AI Change Management & Adoption Support
An 8-week engagement focused on the human side of AI integration โ helping organizations navigate the cultural, communicative, and psychological dimensions of introducing AI tools into established work environments. The team works closely with HR and department leaders to build adoption plans that respect existing team dynamics.
Key Benefits
- Resistance patterns identified and addressed โ not suppressed
- Managers coached to lead technology transitions confidently
- Employee feedback loops designed to surface and address concerns
- Post-engagement monitoring framework for tracking adoption health
Process Steps
Sentiment assessment โ structured conversations with stakeholders at all levels (Weeks 1โ2)
Communication strategy โ development of messaging frameworks tailored to team dynamics (Weeks 3โ4)
Manager coaching โ coaching sessions with key leaders on navigating team responses (Weeks 5โ6)
Adoption plan & monitoring framework โ delivery of structured adoption plan and monitoring handover (Weeks 7โ8)
Deliverables
- Stakeholder sentiment report
- Communication strategy document
- Adoption plan with team-specific approaches
- Post-engagement adoption health monitoring framework
Investment
เธฟ15,500
AI Innovation Lab Setup & Facilitation
A 16-week engagement for forward-looking organizations that want to establish an internal capability for experimenting with AI applications in a structured, low-risk environment. The team designs the lab framework โ including governance, budgeting, success metrics, and escalation pathways from experiment to production. Suited for organizations with 200 or more employees and a dedicated interest in building long-term AI capability.
Key Benefits
- Structured environment for AI experimentation โ reduces costly ad hoc attempts
- Governance built in from the start โ not retrofitted after problems arise
- Cross-functional teams develop real AI problem-solving skills
- Handover enables internal team to run future cycles independently
Process Steps
Lab framework design โ governance, budgeting model, success metrics, and escalation pathways (Weeks 1โ4)
Team formation & orientation โ cross-functional team selection, lab orientation, and sprint methodology training (Weeks 5โ6)
Innovation sprints (3โ5 facilitated) โ structured AI application development against real business challenges (Weeks 7โ14)
Handover package delivery โ full documentation and capability transfer for internal team (Weeks 15โ16)
Deliverables
- Complete lab governance framework
- 3โ5 documented sprint outcomes with recommendations
- Full handover package for independent future cycles
- Trained internal lab leads
Investment
เธฟ23,800
Which Engagement Fits Your Situation?
Use this comparison to self-select the right starting point โ or contact us if you're still unsure.
| Feature | Audit เธฟ8,500 |
Change Mgmt เธฟ15,500 |
Innovation Lab เธฟ23,800 |
|---|---|---|---|
| Duration | 5 weeks | 8 weeks | 16 weeks |
| AI readiness needed | None | Some | Moderate |
| Workflow mapping | |||
| Change management design | |||
| Innovation sprint facilitation | |||
| Recommended team size | 30+ | 30+ | 200+ |
| Best for... | Organizations exploring AI for the first time | Organizations introducing AI tools to existing teams | Organizations building long-term AI capability |
Protocols That Apply to Every Engagement
Confidentiality
All organizational data and process observations are handled under formal confidentiality agreement. No client information is shared with third parties.
Written Scope Agreement
Every engagement begins with a written scope document. Changes require negotiation โ nothing expands silently.
PDPA Compliance
All data handling aligns with Thailand's Personal Data Protection Act. We provide documentation to support your own compliance reporting.
Milestone Reviews
Formal check-in sessions at defined milestones ensure alignment with organizational leadership throughout each engagement.
Documented Deliverables
All findings, frameworks, and recommendations are delivered in written, structured form โ useful to people who weren't in the room during the engagement.
30-Day Post-Engagement Window
A 30-day window for questions after engagement close is included as standard. Your team can reach us for clarification as they begin putting deliverables to use.
Ready to Start? Or Still Have Questions?
Both are fine. A brief conversation is often enough to identify the right engagement for where your organization is now.
Contact Us