Affinda Control
Cut your AI spend without cutting quality.
Affinda Control runs in your own cloud, cuts the bill automatically through intelligent caching, shows your developers the fixes worth making, and reports spend and savings by provider, team and app.
How it works
See where your AI spend goes, and how to reduce it
From day one
Then go further Savings, automatically
From the moment Affinda Control is switched on, intelligent caching and other optimisations cut cost, with no change to the quality of what comes back.
- 1
See
Spend by application, team or person, across every provider.
- 2
Diagnose
Which requests cost more than they should, and why.
- 3
Act
Further savings are ranked by dollar impact for each application, team or person, so your teams decide what to change.
Report · spend and savings Illustrative data
- Contract reviewLegal $2,309 44% +12%
- Claude CodeEngineering $2,168 45% +6%
- Deal researchSales $980 41% +15%
- Agent assistSupport $640 45% +9%
- Invoice matchingFinance $365 47% +4%
- LegalContract review $2,309 44% +10%
- EngineeringClaude Code $2,168 45% +7%
- SalesDeal research $980 41% +13%
- SupportAgent assist $640 45% +5%
- FinanceInvoice matching $365 47% +11%
- Amara OseiLegal $1,544 43% +8%
- Daniel ChoEngineering $1,178 44% +14%
- Priya RamanEngineering $990 47% +6%
- Oliver GrantLegal $765 46% +9%
- Hannah NovakFinance $365 47% +10%
How it is different
Cut the bill without giving up quality or visibility.
Usage caps and licence cuts remove useful AI as well as waste. Cheaper models can reduce quality. Response caching returns stored answers that can be stale. Affinda Control changes cache use by default, not your model, prompt content or answer.
A dashboard alone shows spend, not savings. Affinda Control gives you visibility into your AI spend, makes cost-saving adjustments intelligently and reports back on the savings.
For engineering teams
- Install
- Self-hosted in your cloud, one instance per customer. Apps connect either as a proxy (change one base URL, no code changes) or by calling it from your code, and it works alongside any existing gateway.
- Data
- Prompts and responses stay in your environment. Your provider key is never stored. Nothing is sent to Affinda unless you opt in, and then metadata only. We never train on your content. Log retention is configurable.
- Reliability
- Fails open: if Affinda Control fails or is unavailable, the request goes straight to the provider, so your AI keeps working. Streaming responses are unaffected. You can test it on staging traffic before it touches production.
- What it changes
- By default, only cache markers and cache duration: never the model, the prompt content or the answer. Recommendations are reported, never applied without your developers.