TechShift
TechShift
Enterprise AI Built for Production.
Helping APAC leaders bridge the gap between AI ambition and production reality. TechShift combines local regulatory expertise with global engineering standards to deliver measurable ROI.
Malaysia is rapidly emerging as a regional AI hub, driven by the National AI Office (NAIO) and the Digital Economy Blueprint. However, enterprise adoption remains complex — and that is precisely where our AI strategy practice delivers.
Expert guidance on MDEC and MIDA matching grants up to RM1M.
Compliant cloud architectures using Malaysian availability zones.
Custom fine-tuning for regional languages and cultural nuance.
Specialised predictive models for the Penang E&E corridor.
What We Do
From strategic advisory through to production ML systems — every engagement is delivered by senior practitioners, not analysts.
Roadmaps grounded in your business model, not vendor lock-in.
Learn more →Connect LLMs, vision models, and analytics to your existing stack.
Learn more →Production-grade data infrastructure — lakehouse, streaming, governance.
Learn more →NAIO-aligned governance, bias audits, and explainability frameworks.
Learn more →Upskilling programmes and operating model redesign for AI adoption.
Learn more →Need a custom scope?
Every enterprise has different constraints. We tailor engagements to your objectives, budget, and timeline.
Talk to UsSector Depth
Deep domain expertise means faster time to value. See our manufacturing AI practice for a sector-specific example.
Credit scoring models, fraud detection pipelines, and RegTech automation for Malaysian banks and insurers operating under BNM guidelines.
Predictive maintenance, quality vision systems, and OEE optimisation for the Penang E&E corridor and Industry 4.0 facilities.
Clinical NLP, diagnostic AI, and patient flow optimisation aligned with KKM standards and local data residency requirements.
Demand forecasting, personalisation engines, and supply chain intelligence for regional omnichannel retailers.
Grid load forecasting, solar yield prediction, and emissions monitoring for Malaysia's energy transition.
How We Work
A structured four-phase process that moves fast without cutting corners — because in production AI, both matter.
2-week deep-dive into your data landscape, existing systems, and strategic objectives. Output: diagnostic report and opportunity map.
3-week collaborative sprint to build a prioritised AI roadmap with ROI projections, grant eligibility assessment, and make-vs-buy recommendations.
Agile delivery of AI prototypes through to production. Embedded engineers work alongside your team, shipping working models every two weeks.
MLOps pipelines, monitoring dashboards, and internal capability uplift to ensure your AI systems keep improving after we hand over.
The Case for TechShift
We are not the cheapest option and we are not the most expensive. We are the right call for enterprises that want production AI without a Big 4 timeline or price tag. Read more on our why us page.
| Attribute | TechShift | Big 4 / Global SI |
|---|---|---|
| Hourly Rate | USD 80–150/hr | USD 300–500/hr |
| Time to First Delivery | 6 weeks | 4–6 months |
| APAC Regulatory Expertise | Native (NAIO, PDPA, BNM) | Global frameworks adapted |
| MDEC Grant Support | Full end-to-end | Limited / extra fee |
| Local Language NLP | BM / EN / ZH fine-tuning | Rarely in scope |
| Engagement Size | SME to large enterprise | Large enterprise only |
Strategic Clarity
Ten questions that every Malaysian executive asks before committing to an AI programme — answered directly.
A credible AI consulting Malaysia engagement delivers four concrete artefacts: a prioritised use-case portfolio mapped to P&L impact, a target data and platform architecture, a production-grade pilot or MVP that survives real users, and a change plan covering operating model, KPIs, and upskilling. TechShift adds two Malaysia-specific layers — NAIO and PDPA 2024 governance alignment, plus MDEC, MIDA, and MITI grant structuring — so that every ringgit spent qualifies for matching funds wherever possible. The deliverable is never a slide deck; it is a working system, a measurable ROI baseline, and an internal team capable of running it after we hand over.
TechShift pricing tiers are transparent. Tier 3 Discovery Sprint engagements range USD 15,000 to USD 40,000 (typically 2 to 6 weeks). Tier 2 strategy-plus-implementation projects run USD 50,000 to USD 250,000. Tier 1 enterprise transformations run USD 250,000 to USD 1,000,000. Ongoing retainers sit at USD 5,000 to USD 25,000 per month. By contrast, Big 4 and global SI firms typically charge USD 300 to USD 500 per hour across six-month engagements — often three to five times the all-in cost for comparable scope. Malaysian matching grants can further offset 30 to 60 percent of eligible spend.
Five differences matter. First, leadership: TechShift is founded by an MIT-trained operator who codes the production systems we ship, not by career consultants. Second, focus: we serve Malaysian mid-market enterprises with RM 5 million to RM 100 million revenue — the segment Big 4 ignores or over-prices. Third, economics: USD 80 to USD 150 per hour versus USD 300 to USD 500 per hour at the global firms. Fourth, pace: 6-week sprints with shipping milestones every two weeks, not 6-month engagements ending in a binder. Fifth, regional fit: APAC-native team, AWS plus Google plus Microsoft partner badges, and our proprietary ARIA AI Readiness Assessment baked into every engagement.
Several active programmes can co-fund AI work in Malaysia. MDEC MDAG-AI offers matching grants up to RM 1 million for AI adoption projects. MIDA Smart Automation Grant provides up to RM 1 million for manufacturing automation and industrial AI. IDTF (Industrial Digitalisation Transformation Fund) supports digital transformation programmes up to RM 20 million. GITA (Green Investment Tax Allowance) offers a 60 percent tax deduction on qualifying green-AI investments, with a current application deadline of 31 December 2026. DISF (Digital Investment Strategic Fund) supports anchor digital infrastructure projects. We structure each engagement to maximise eligibility across these instruments.
ARIA is our proprietary 15-question diagnostic covering 6 dimensions: strategy, data, technology, talent, governance, and operating model. It takes roughly 5 minutes to complete. The assessment is lead-gated at question 11, meaning you get partial insight immediately and a full benchmarked report — including peer comparisons and personalised next steps — after submitting your contact details. The output is concrete: a readiness score, the three highest-leverage gaps for your business, and recommended service lines or grant instruments to close them. ARIA is the fastest way to qualify your organisation for an AI investment decision.
Yes, when designed correctly from day one. Malaysia's PDPA 2024 amendments introduced data-breach notification rules, data protection officer requirements, and cross-border transfer controls that directly affect how AI systems handle personal data. We also reference the EU AI Act risk-tier framework for any cross-border deployments and apply NAIO Trustworthy AI guidelines locally. Our Responsible AI service line covers data minimisation, lawful-basis documentation, model cards, bias audits, explainability tooling, and incident-response playbooks — so compliance is built into the architecture, not bolted on before audit.
Six sectors form the bulk of our Malaysian work. BFSI: credit-decisioning, fraud detection, and RegTech for institutions in the orbit of Maybank, CIMB, and RHB. Manufacturing: predictive maintenance and quality-vision systems for the Penang E&E and Shah Alam industrial corridors. Healthcare: clinical NLP and operational AI aligned with KPJ and IHH-style provider networks. Retail and e-commerce: demand forecasting and personalisation for omnichannel players in the Lazada, AEON, and MR DIY ecosystems. Energy and utilities: grid and yield forecasting relevant to Petronas and TNB transition programmes. Public sector: citizen-service AI and analytics aligned with MyDigital and NAIO mandates.
Three durations cover most situations. A Discovery Sprint takes 2 to 6 weeks and produces a diagnostic plus a prioritised use-case portfolio. A Strategy and Roadmap engagement takes 6 to 8 weeks and adds target architecture, ROI projections, grant structuring, and a sequenced delivery plan. A full Implementation runs 3 to 6 months end-to-end, from data foundations through to a production model running with monitoring and MLOps in place. By comparison, Big 4 firms typically require 6 months or more to deliver the equivalent of our Strategy and Roadmap phase. Agile two-week sprints mean progress is visible from week two, not month six.
Both — implementation is where most AI programmes either deliver value or quietly die, so we never separate the two. Our six service lines run the full lifecycle: AI Strategy and Roadmapping for use-case prioritisation and economics; AI Integration and Engineering for production builds; Data Platform Modernisation for lakehouse, streaming, and governance foundations; Change Management and Adoption for operating model, KPIs, and upskilling; Responsible AI and Governance for PDPA, NAIO, and EU AI Act alignment; and AI-Driven Growth Engines for revenue-side AI such as personalisation and forecasting. You can buy any one, or a sequenced bundle.
Three steps. Step one: take the free 5-minute ARIA AI Readiness Assessment or run your numbers through our ROI Calculator to qualify the opportunity internally. Step two: book a 30-minute discovery call with a partner via our contact page — we use this to confirm fit, scope, and any applicable grants. Step three: within 48 hours of the discovery call, you receive a tailored Discovery Sprint proposal with fixed scope, fixed price, named team, and a start date. No procurement theatre, no six-week proposal cycle, no junior consultants assigned after the SOW is signed.
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