Save on your AI bill, don't compromise on quality.

Most teams pay frontier prices for tasks fast models handle perfectly well. Harriet sets a policy: keep frontier for the few people who need it, and default everyone else to capable-enough models that cost a fraction as much.

Not for the work fast models are made for. For everything else, they get a one-tap "switch model" prompt, and Harriet routes within the policy you set, so no one is locked out of frontier when they truly need it.

Two ways, your call. Bring your own keys for OpenAI, Anthropic, and Google, so you keep your provider relationships, committed-spend deals, and rate limits, and pay no LLM charge to us. Or use Harriet Managed Credits for a single invoice with access to all the frontier labs as well as high-quality open-weight models. You can mix the two per user and switch at any time.

Under an hour for the whole company. Connect your identity provider, import teams automatically, set a default policy, and push to every device via MDM or a single command.

Three levers, in order of impact. Route everyday work to capable fast models and keep frontier models for the people and tasks that need them. Cap spend per team and per user so nobody discovers the bill after the fact. And stop paying seat fees for people who barely use the tool, which is what a seat minimum forces you to do. Harriet does all three from one policy screen, across Claude, ChatGPT, Gemini and open models.

Seeing what AI costs by team, model and task as it happens, and being able to act on it: set a budget, route a task to a cheaper model, or switch a heavy user to a different default. Vendor consoles show one total per vendor. Harriet shows the whole picture across vendors and lets you set hard caps, not just alerts.

Anthropic publishes $20 per seat a month, billed annually, plus usage at API rates, with a 20-seat minimum. The full breakdown is on our Claude Enterprise pricing page, and the Claude Team vs Enterprise page covers the moment teams outgrow the flat-price plan.