Cookies on zokforce.com
We’d like to use Google Analytics to understand how visitors find and use our website, so we can improve it. It sets cookies in your browser only if you allow it. Privacy policy
We use Google Analytics to understand how visitors find and use our website, so we can improve it. It sets cookies in your browser, and you can turn it off at any time. Privacy policy
Every AI response verified, audited, and kept within budget.
A model on its own is not a production system. We build the harness around it: confidential details masked, answers checked against real scenarios from your work, a backup provider when one fails, and a spending cap on every workflow.
Every AI request passes the same three checks before anyone relies on it.
On its own, a model can leak private data, make things up or run up costs. The harness masks private details, sends each request to an approved model under a spending cap, checks the answer, and logs every step for your reviewers.
Evidence your security, legal and finance reviewers can check.
Whether hardening an existing internal prototype for launch or building a new capability from scratch, we install four permanent safeguards.
Mask sensitive details before they leave your boundary
Automated filters redact or tokenize customer names, account numbers, health identifiers, and proprietary business figures before any external model call occurs.
Grade every change against real domain scenarios
Working with your subject-matter specialists, we curate hundreds of representative test cases—including high-risk edge cases—so updates are graded automatically before release.
Enforce budget circuit breakers & backup routing
We set spending caps per workflow so usage bills can’t run away, and add failover between model providers so work can continue when one has an outage.
Maintain a complete executive & compliance ledger
Every prompt, source citation, quality score, unit cost, and human approval is recorded in one clear operational view for leadership and auditors.
The control infrastructure security and finance teams require.
Deployed in your cloud in four to six weeks, with the AI providers you use.
- Inline confidential-data redaction and policy filtering tailored to your risk rulesData shield
- Automated scenario benchmark bank that blocks accuracy regressions prior to releaseQuality gates
- Per-workflow spending caps, loop circuit breakers, and response optimizationCost control
- Routing across model providers, so one provider’s outage doesn’t stop the workflowResilience
- Executive dashboard tracking unit economics, quality trends, and audit trailsObservability
We run the same kind of controls on our own products.
Learned on our own products
Running MedScribe AI, our clinical scribe, shows us what a harness has to catch. ZokLens, our AI observability product, is built around the same checks.
Model-provider independence
Adopt newer, faster, or lower-cost AI models as the market evolves without rebuilding your governance layer.
Open standards, no lock-in
Your control layer uses OpenTelemetry and runs in your cloud. Adding ZokLens later is optional.
Staff corrections become tests
When staff correct a draft, the case is added to the test bank, so the same mistake is caught before the next release.
Five services, combined to fit the problem.
Readiness and governance
Prioritize high-return workflows & clear risk review
See this service02Legacy integration and agents
Connect current software without disruptive replacement
See this serviceAI harness engineering
Confidential data protection, accuracy gates & budget caps
You are hereCustom model fine-tuning
Compact models trained privately on your terminology
See this service05AI-driven development (ADLC)
End-to-end engineering loop with human release authority
See this serviceHow ready is your organization for AI?
24 questions across six pillars. You get a score for each pillar, your strongest and weakest areas, and the services that would close the gaps.
- 01Strategy & use-case readiness
- 02Enterprise architecture & integration
- 03ADLC & engineering practices
- 04Data & LLM training / fine-tuning
- 05AI harness & observability
- 06Governance, privacy & human sign-off
Can you retrofit this control harness around an AI pilot our team already built?
Yes. A common starting point is a prototype that works in demos but can’t yet pass security, privacy or finance review for a live rollout.
Do inline privacy and policy checks add noticeable delay for users?
They add some delay, and we measure it on your workload. Masking and rule checks run inside your cloud before the request reaches the model, and we agree a latency limit with you before launch.
Is a ZokLens subscription mandatory to use this service?
No. What we build uses open standards and belongs to you. It works with ZokLens or with the monitoring tools you already have.
Make your AI verifiable for risk reviewers and predictable for finance.
Book a 30-minute call
Hi, I’m Zoey, the AI assistant at Zokforce. Ask me about our AI services, our products, or how AI could work in your business.Writing an answer…YouZoeyYou’re sending messages quickly. Wait a minute, then try again.Zoey can’t answer right now. Please try again shortly, or email service@zokforce.com.