Sequence implements Docusign CLM through an AI agent you supervise. Your workflows, templates, and repository — built in your own environment, with every change diffed, priced, and approved by you before it lands.
Your implementation lead interviews you the way a senior consultant would — clarifying processes, approval chains, and edge cases — and turns it into a scoped, priced plan you approve before any work begins.
Work happens in your Docusign sandbox, live on screen: every configuration, every test run, every validation. Each change is verified against the plan before it is presented for your approval.
You review the change set, run UAT, and authorize promotion to production. After go-live, the same agent stays available for changes and advice — paid from the same credits, with no retainer and no minimum.
Most AI tools free-hand your systems. Sequence can't: the agent's entire action space is a closed set of scoped changes, so a rebuild-everything rewrite isn't just against the rules — it's unrepresentable.
Every claim below describes how the system works today — not a roadmap. Ask us what isn't built yet and you'll get a straight list; we'd rather lose a deal than be wrong about this.
You sign in yourself, in a live browser session you can watch — we never ask for your password and never type one. Credentials are held by the execution layer and never enter the AI's context; the model requests actions, it never sees authentication material. OAuth over passwords wherever the platform allows — revocable by you, instantly.
Work starts in your test environment. Nothing is applied until you approve that specific change — you see the exact diff, and the agent can only make the changes it proposed, never a rewrite. Every approval is recorded against your name and the change it authorised.
Every change, the diff you approved, who approved it and when, and the step-by-step log of what the agent did are recorded and kept for the life of the engagement. Your implementation stops being tribal knowledge in a consultant's head.
All model traffic runs under enterprise API terms: inputs and outputs are not used for training. Work runs in a managed cloud browser session locked to your platform's domains — never on your machines, and never on a laptop that keeps a copy.
The work itself is paid for with pre-paid credits, drawn down at these prices per action. You see what something costs before you approve it, work that doesn't land isn't charged, and an empty balance stops the agent: it can never bill you past what you bought.
The incumbent model for post-go-live support is a $19,000–58,000 annual retainer with a one-year minimum. Ours is the same meter you already know: ask a question, request a change, pay for exactly that. Your implementation lead retains the complete record of how your system was built — so nothing gets lost when the people who built it would normally roll off.
Seats are deliberately limited while we harden the platform. No card required — you get the portal, connect your own Docusign, and see every change before it happens. Estimate your engagement first if you like.