Strategy
Build vs buy: custom AI vs off-the-shelf SaaS
Custom AI integration vs plugging in an AI SaaS — control, cost, differentiation.
/ Our verdict
Buy for commodity features. Build what differentiates your product.
4
Custom AI build wins
0
Ties
3
AI SaaS (off-the-shelf) wins
Side by side
How they compare, dimension by dimension.
Dimension
Custom AI build
AI SaaS (off-the-shelf)
Time to first working feature
6-12 weeks
Days
Upfront cost
$40k-300k
$50-5k/mo
Running cost at scale
API + infra only
Per-seat or per-query fees scale badly
Differentiation
Full IP ownership
Your competitors have it too
Data stays private
Yes
Check vendor terms
Vendor dependency
Model-agnostic
Fate tied to vendor roadmap
Maintenance burden
Yours
Vendor's
/ Pick Custom AI build when
- The AI feature is core to your product
- You have 5000+ users or high per-query volume
- Data privacy or compliance is non-negotiable
- Competitive differentiation matters
/ Pick AI SaaS (off-the-shelf) when
- Feature is commodity (e.g., meeting notes, email drafts)
- Small scale or uncertain demand
- You want to validate before investing
- Non-core feature that just needs to exist
Our take
The test: if the feature could be removed and your product would still be viable, buy it. If removing it would damage your moat, build it. We help clients draw this line explicitly during scoping.
/ Next step
Still not sure which to pick?
A 30-minute call with our team is often faster than more research. Let's talk through your specific context.
~4h
avg response
Q2 '26
next slot
100%
NDA on request