AI Consulting for Enterprises and SMEs — Discovery, Strategy, Implementation
End-to-end AI consulting services. From Discovery Sprint that identifies the highest-ROI AI use cases, to Strategy Roadmap and full Implementation on OpenAI, Claude, Gemini, or open source LLMs. We work alongside your IT and business teams. Optional Fractional CTO retainer for organizations that need ongoing strategic AI guidance.
Common Pain Points
AI Challenges Teams Face
Want to adopt AI but unsure which use case has the highest ROI
Tried AI POCs but they never make it to production at scale
Team unsure how to choose between OpenAI, Claude, Gemini, or Llama
Limited budget — need to pick AI projects that actually pay back
Services
AI Consulting Services
2-Week Discovery Sprint
Team workshop + existing system audit. Prioritize AI use cases by Impact × Feasibility. Delivered with roadmap and ROI estimates.
AI Strategy Roadmap
6-12 month plan defining which AI to build, which systems to connect, which teams adopt first, with measurable KPIs and risk mitigation.
Vendor & Model Selection
Pick the right LLM (OpenAI vs Claude vs Gemini vs Llama). Compare cost, performance, and security. Self-hosted vs cloud trade-off analysis.
Implementation & Pilot
First pilot project in 8-12 weeks with monitoring, evaluation, and iteration loops. Validate with a pilot before scaling org-wide.
Team Training & Enablement
Training across all levels — executives understand AI strategy, engineers can maintain production AI. Full documentation included.
Fractional CTO Retainer
Monthly strategic AI advisory. Joins tech reviews, helps with hiring decisions and roadmap adjustments. Ideal for Series A-B startups.
Process
Discovery → Pilot → Scale
Discovery Sprint (2 weeks)
Workshop with business and IT teams. Audit existing systems. Surface 10-20 AI use case candidates and rank by Impact × Feasibility.
AI Strategy Roadmap
Deliverable: 6-12 month plan covering pilot projects, architecture choices, vendor selection, KPIs, and risk mitigation.
Pilot Implementation (8-12 weeks)
Build the first pilot with monitoring and evaluation framework. Validate in production before scaling org-wide.
Scale & Enablement
Roll out proven AI across the organization. Train IT and business teams. Deliver documentation so you can maintain it yourself.
AI Models Supported
Pick the Right AI for Your Business
Example Engagements
Past Engagements (anonymized)
Discovery Sprint for E-commerce
Example engagement: E-commerce team wanted AI but had limited budget. Our 2-week sprint surfaced 3 highest-ROI use cases (AI product descriptions, lead scoring, customer segmentation) with 90-day ROI estimates.
AI Strategy Roadmap for Healthcare
Example engagement: 5-clinic network wanted AI but worried about PDPA compliance. 6-month roadmap recommended self-hosted Llama for patient data + Claude API for admin tasks.
Fractional CTO for Series A SaaS
Example engagement: 15-person Series A SaaS without a full-time CTO. Monthly fractional CTO helped hire 2 AI engineers and design AI features that became the core product differentiator.
Ready for a Discovery Sprint?
Free 30-minute kickoff call. No commitment.
Engagement Models
Choose the Engagement That Fits
Discovery Sprint
2-week workshop. Identify highest-ROI AI use cases with delivered roadmap.
- Business + IT team workshops (2 sessions)
- Existing system + data audit
- Use case scoring (Impact × Feasibility)
- 6-12 month roadmap delivery
- Per-use-case ROI estimates
- Final presentation + Q&A
Implementation Roadmap
Discovery Sprint + 8-12 week pilot implementation with monitoring.
- Everything in Discovery Sprint
- Pilot Project Implementation (1 use case)
- AI Architecture Design
- Vendor + Model Selection
- Production Monitoring + Evaluation
- Team Training (Engineer + Business)
- 90-day post-launch support
Fractional CTO
Monthly strategic AI advisory. Ideal for Series A-B startups.
- Weekly tech/strategy meeting attendance
- AI Hiring Advisory (interview + assessment)
- Code + Architecture Review
- Quarterly roadmap adjustments
- Vendor + Tooling negotiation
- Direct Slack / LINE OA channel
- 3-month minimum
* Prices exclude VAT / scope is customizable
Comparison
AI Consulting vs DIY vs Big-4
chercode. | Big-4 / Large Agency | |
|---|---|---|
| Time-to-Roadmap | 2 weeks | 8-16 weeks |
| Discovery Cost | ฿65,000 | ฿500,000+ |
| ROI-First Approach | Often scope-driven | |
| Works directly with your IT/Business team | Via account manager | |
| Vendor-neutral (OpenAI/Claude/Gemini) | Tied to Microsoft/AWS partner | |
| Fractional CTO option | ||
| Pilot → Production in 12 weeks | 6+ months | |
| Open Source LLM expertise | Limited |
How We Work
What You Get From Each Engagement
Vendor Neutral
We don't take commission from OpenAI, Claude, Gemini, or any vendor. Recommendations are based purely on what's best for your business.
Not tied to any single AI provider
Honest Outcomes
If the Sprint concludes AI isn't worth it for your current use cases, we'll say so directly — with guidance on what data or workflow improvements should come first.
Will tell you if AI doesn't pay back
Production-Ready Code
Pilots we deliver include monitoring, evaluation framework, and full documentation. Your IT team can maintain them — you're not locked in.
Not just POCs
FAQ
Frequently Asked Questions
The Discovery Sprint is a focused 2-week engagement that identifies the highest-ROI AI use cases for your organization. Instead of committing 6-7 figures without knowing what AI to build, this sprint de-risks the decision by delivering data + roadmap first.
Discovery Sprint suits SMEs with 50+ staff who want AI but don't know where to start. Implementation Roadmap suits 100+ person organizations with pilot budget. Fractional CTO suits Series A-B startups (15-50 people) needing monthly strategic AI guidance.
Depends on the use case. Claude excels at Thai language + nuanced reasoning (legal/healthcare/finance). OpenAI is strong general-purpose + cost-effective (chatbot/content). Gemini is strong multimodal with free tier (vision/image). Llama suits self-hosted/PDPA-sensitive deployments. We compare in detail during the Sprint.
Measured at 3 levels: 1) Time-to-decision — AI strategy decisions in 2 months instead of 6-12. 2) Project ROI — delivered pilots typically pay back in 6-12 months. 3) Avoided cost — avoided investing in low-ROI use cases, saving millions.
Not necessarily. The Discovery Sprint includes auditing your current data + recommending which data work to do first. Sometimes the best use case requires very little data — e.g., a customer support chatbot using existing FAQs.
Attends 4 weekly tech/strategy meetings (~6 hrs), reviews code + architecture (~4 hrs), interviews AI engineer candidates (~4 hrs), adjusts roadmap monthly (~2 hrs), plus Slack/LINE access for urgent questions. ~20-25 hrs/month total.
Not at all — the Sprint's goal is delivering the data + roadmap to make the right decision. If the conclusion is your business isn't ready or AI doesn't pay back yet, that's a valid outcome. Better than committing 7 figures and failing. Several clients chose to delay AI 6-12 months after the Sprint to fix data foundations first.
Typically 2-3 weeks after the kickoff call. The first step is a free 30-minute kickoff call to understand context and discuss the best engagement model. If we agree, the Sprint is scheduled immediately.