Methodology
How Thoughtium approaches every engagement
Scoping conversation
We listen before we propose. The first conversation is about understanding your situation — not pitching a service.
Written scope agreement
The engagement scope, deliverables, and timeline are agreed in writing before any work begins.
Delivery with documentation
All outputs include written documentation. The engagement is not complete until your team can work with the deliverable independently.
Service 01
Natural Language Understanding Audit
A careful assessment of how well your existing text-based systems — chatbots, search functions, classification tools — actually understand user intent. The audit applies a structured testing methodology across diverse input scenarios, measuring accuracy, contextual awareness, and failure modes. Findings are delivered as a diagnostic report with actionable improvement paths ranked by impact and effort.
Particularly useful for organisations that have deployed conversational or text-processing tools and want a candid evaluation of their real-world performance. Completed within ten business days.
What this service includes
- Structured testing across diverse and adversarial input scenarios
- Accuracy, contextual awareness, and failure mode measurement
- Diagnostic report with quantified findings
- Improvement paths ranked by impact and implementation effort
- Reusable testing framework your team can apply to future evaluations
Process steps
System access and documentation review — Days 1–2. We review existing documentation and establish access to the system under assessment.
Test suite design and execution — Days 3–6. We design and run structured tests across normal, edge-case, and adversarial inputs.
Analysis and report preparation — Days 7–9. Findings are analysed and a diagnostic report is prepared with ranked recommendations.
Report delivery and walkthrough — Day 10. The report is delivered with a live walkthrough session for your team.
Fixed price
SGD 380
Completed within 10 business days
Service 02
Generative AI Content Pipeline
Design and implementation of a managed content generation pipeline that combines large language models with your brand guidelines, editorial standards, and subject matter expertise. The service covers prompt engineering, output quality controls, human review workflows, and integration with your content management system.
Built to support marketing copy, product descriptions, internal communications, or knowledge base articles — depending on your priority. Includes detailed documentation so your team can maintain and evolve the pipeline independently. Six-week engagement with a two-week pilot phase.
What this service includes
- Brand guidelines and editorial standards integration
- Prompt engineering and systematic quality controls
- Human review workflow design and implementation
- CMS integration and pipeline deployment
- Complete technical documentation for independent maintenance
Engagement timeline
Discovery and scoping — Week 1. Content audit, brand guidelines review, and CMS assessment.
Pilot phase — Weeks 2–3. Pipeline built and tested on a single content type. Client team provides feedback.
Full pipeline build — Weeks 4–5. Expanded to all agreed content types with quality controls and review workflows.
Handover and documentation — Week 6. Team training, complete documentation delivery, and handover.
Fixed price
SGD 1,280
Six-week engagement
Service 03
Federated Learning Architecture
Design of a privacy-preserving machine learning system that enables model training across distributed data sources without centralising sensitive information. The service includes architecture planning, communication protocol design, aggregation strategy selection, and security review.
Particularly relevant for organisations in healthcare, finance, or multi-entity partnerships where data cannot leave its source environment. Delivers a technical blueprint, reference implementation, and deployment guide. Eight to twelve-week engagement depending on the number of participating nodes.
What this service includes
- Architecture planning for distributed model training
- Communication protocol and aggregation strategy design
- Security review and privacy impact assessment
- Technical blueprint and reference implementation
- Deployment guide and participating node documentation
Engagement structure
Data environment assessment — Weeks 1–2. Review of each participating node's data environment, constraints, and governance requirements.
Architecture design — Weeks 3–5. Protocol selection, aggregation strategy, and security architecture designed and reviewed.
Reference implementation — Weeks 6–9. Working reference implementation built and tested across participating environments.
Blueprint and handover — Weeks 10–12. Full technical blueprint, deployment guide, and knowledge transfer to client team.
Fixed price
SGD 2,550
8–12 week engagement
Decision Guide
Choosing the right service
If you are unsure which service fits your situation, this comparison may help — or contact us for a direct conversation.
| Your situation | NLU Audit | Content Pipeline | Federated Architecture |
|---|---|---|---|
| Deployed AI tool performing below expectations | |||
| Scaling content production with AI assistance | |||
| Data cannot be centralised due to governance constraints | |||
| Multi-entity collaboration on a shared model | |||
| Evaluating AI investment before committing |
Shared Standards
Standards applied across all services
PDPA compliance
All engagements are conducted in accordance with Singapore's Personal Data Protection Act.
Written deliverables
Every service produces written, human-readable outputs — not proprietary formats or locked tools.
Confidentiality agreements
Client data and business information are protected under mutual NDA from the first conversation.
Team enablement focus
Engagements end with your team trained and equipped to continue independently — not dependent on Thoughtium.
Not sure which service fits?
Describe your situation and we will tell you honestly which engagement makes sense — or whether any engagement is warranted at all.
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