Digital Marketing11 min read

Internal AI Assistant: Build vs Buy in 2026 (Singapore)

Mohamed Bah·Fondateur, Kolonell
September 2, 2026
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Internal AI Assistant: Build vs Buy in 2026 (Singapore)

Internal AI Assistant: Build vs Buy in 2026 (Singapore)

Digital Marketing

The verdict in three sentences

In 2026, a CIO who wants an internal AI assistant (document search, HR support, knowledge base) has two paths: a turnkey SaaS at 15,000-60,000 FCFA per user per month, or a custom RAG solution at 6,000,000-15,000,000 FCFA plus hosting. SaaS is unbeatable to start fast and at small headcount; the custom build becomes profitable beyond roughly 40 seats and when data sovereignty is non-negotiable. A well-indexed RAG reaches 85 to 95% accuracy, provided you invest in document quality and re-indexing.

SaaS or build: the per-headcount math

SaaS has a linear per-user cost; the build has a high fixed cost but low recurring. The crossover point depends directly on the number of seats.

CriterionTurnkey SaaSCustom RAG
Entry cost0 (subscription)6,000,000-15,000,000 FCFA
Cost per user/month15,000-60,000 FCFA~3,000-8,000 FCFA (infra)
Hosting/yearincluded1,500,000-4,000,000 FCFA
Data controllimitedtotal (sovereignty)
Business customizationlow to mediumtotal
Time to launch1-3 weeks8-16 weeks
Typical accuracy80-90%85-95%

At 15 seats, SaaS costs 225,000 to 900,000 FCFA/month: staying on SaaS is obvious. At 80 seats, the same offer quickly rises above the recurring cost of an amortized build.

The switch threshold, in numbers

Let's compare the 24-month cumulative cost of a SaaS at 35,000 FCFA/user/month against a build at 10,000,000 FCFA + 250,000 FCFA/month infra. 2026 order of magnitude.

Number of seatsSaaS over 24 monthsBuild over 24 monthsWinner
15 seats12,600,000 FCFA16,000,000 FCFASaaS
30 seats25,200,000 FCFA16,000,000 FCFABuild
40 seats33,600,000 FCFA16,000,000 FCFABuild
80 seats67,200,000 FCFA16,000,000 FCFABuild
150 seats126,000,000 FCFA16,000,000 FCFABuild

The real threshold sits around 25 to 40 seats depending on the negotiated SaaS price. Below it, SaaS wins on simplicity; above it, the build wins economically and on data control.

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Mini case study

Kossi, CIO of a 60-person retail group in Singapore, wants an internal assistant for procedures and HR support. On SaaS at 35,000 FCFA/user, he would pay 2,100,000 FCFA/month, about 50,000,000 FCFA over 24 months. He picks a custom RAG: build at 11,000,000 FCFA, infra at 300,000 FCFA/month. Over 24 months, total cost ~18,200,000 FCFA, a saving of about 32,000,000 FCFA, with data hosted in-house. Measured accuracy after indexing: 91%.

FAQ

What is RAG and why is it key? RAG (retrieval-augmented generation) wires the LLM to your indexed documents so it answers on YOUR data, not generalities. Well indexed, it reaches 85 to 95% accuracy and cites its sources, which reassures business teams.

Is SaaS really faster? Yes: 1 to 3 weeks versus 8 to 16 for a build. To validate usage at small headcount, SaaS is the best way to test before investing in a custom solution.

Where is my data with SaaS? Often hosted at the vendor, sometimes outside the region. If you handle sensitive HR or customer data, sovereignty alone can justify a self-hosted custom build.

What is the hidden cost of a build? Re-indexing and maintenance: plan a few hours per month and an infra budget of 1,500,000 to 4,000,000 FCFA/year. A RAG left unmaintained degrades as documents evolve.

From how many users is the build worth it? Around 25 to 40 seats depending on the negotiated SaaS price. Beyond 40 seats, custom is almost always cheaper over 24 months and offers better control.

Let's scope your project. Give us your seat count and data sensitivity: we compare SaaS and a priced custom RAG. Detailed quote within 48 h. WhatsApp +221 77 596 93 33.

Tags:#AI agent#internal assistant#RAG#build vs buy#generative AI#knowledge base#data sovereignty#Singapore
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Mohamed Bah

Fondateur, Kolonell

Passionate about digital and entrepreneurship in Africa, Mohamed has been helping Sénégalese businesses with their digital transformation since 2020. Founder of Kolonell, he believes every SME deserves a professional and accessible online présence.