Swyft brings AI policy, cost control, and measurable outcomes into one control layer—so AI answers to the business.
Why Swyft?
Inspired by the swift, a bird that spends nearly all its life in flight, Swyft brings policy, cost control, and measurable outcomes wherever AI is at work.
Key features
Route each workflow to the right model, enforce policy, trace activity, and measure outcomes.
SHARED POLICY
Provides shared access across teams to policies, rules, and permissions in one workspace.
Keep your company’s knowledge yours. Make it reusable across AI tools as shared skills and governed memory, instead of rebuilding context in every account.
POLICY ENFORCEMENT
Checks every action against approved rules, permissions, and data boundaries.
Blocks out-of-scope actions or sends them for human review.
AUDITABILITY
Records the actions AI took, the information it accessed, and how it reached an output.
Gives teams an audit trail to verify activity and investigate issues.
OUTCOME EVALUATION
Scores output quality and consistency against approved criteria and datasets.
Shows whether AI delivers useful outcomes and where workflows can improve.
Know a team putting AI to work? Introduce them to Swyft, and let’s discuss a referral partnership.
For organizations bringing AI into daily work and needing their policies, permissions, and oversight to keep pace.
We’ll tailor the guardrails to your workflows and risk, then map where AI fits.
Swyft orchestrates agents on the accounts your company already runs, then holds every one of them to your policy, ties it to an outcome you can measure, and logs it to an audit trail you own. Your provider relationships stay yours.
Agents run on the Anthropic, OpenAI, Google, and GitHub accounts you already pay for. Swyft orchestrates on top; your provider relationships and invoices stay where they are.
Every agent is tied to an outcome you define and can measure, with per-agent budgets that auto-pause when hit so finance sees a cost line aligned to results.
Your governance layer encodes SOPs, brand voice, and escalation rules, deciding what an agent may do alone and what always goes to a human.
Provider, model, version, and account are logged to an exportable audit trail on every action so legal, security, and governance teams can review it.
Route each skill to the model that suits it. Switch providers without rebuilding, so your workflows are never locked to one vendor.
Your data never trains a third-party model. Port the Swyft stack to infrastructure you control whenever you are ready.
Connect the accounts your company already pays for, and every agent runs under the contract, controls, and invoice you already have.
Long-running reasoning and document work on the Claude environment your company already governs.
Repository work, scripts, adapters, and system glue scoped by Swyft to the project at hand.
Multimodal intake for forms, scans, photographs, and other inputs that begin in your Google environment.
Agent execution on infrastructure you operate, driven by the same Swyft orchestration and governance.
Sensitive work through a private endpoint inside your perimeter, using open-weight models you control.
Repository-aware assistance in the engineering tools and organization policies your teams already use.
Your first agent is free — prototype, strategy, implementation plan, and compute cost model delivered before you commit. When it deploys, you only pay when it works.