Routine work keeps moving
Agents watch for the next job and carry approved steps without waiting for someone to remember the handoff.
Build more capacity into the business you already run.
OpenAnalyst helps established and growing businesses turn recurring work into a governed AI workforce. Agents work across sales, service, finance, administration, marketing, operations and HR with the context, limits and ownership your teams need.
Your people set direction
Choose the outcome
Define the rules and access
Own judgment and exceptions
OpenAnalyst
A connected AI workforce
Understands
Uses approved company and customer context.
Acts
Carries the repeatable steps across tools.
Reports
Leaves status, evidence and next ownership visible.
The business sees the work
Queues keep moving
Handoffs carry context
Outcomes can be measured
An AI workforce you own, not a platform you rent.
Most AI tools ask you to move your work onto a platform you rent and never really control. We do the opposite. OpenAnalyst wires agents into the records, rules, and systems your company already runs, keeps a person in control of every decision that carries weight, and leaves you with an operating system that is yours to keep.
Our mission
Give every growing business the operating capacity of a much larger one, without the headcount or the loss of control.
How we get there
One useful workflow at a time, governed from the start, expanded only from what proves itself in live work.
Growth rarely creates one big bottleneck.
It creates hundreds of small pieces of coordination: a lead without follow-up, a service case without history, an invoice waiting for a document, a campaign waiting for review. OpenAnalyst turns those repeated gaps into defined work.
Context travels with the job
The customer, company and process information needed for the next step stays attached to the work.
Leaders can inspect the outcome
Owners see what ran, what stopped, what changed and whether the agreed business measure improved.
An AI workforce across the operating company.
Each agent has a focused job. Together they can share approved context and contribute to the same customer, revenue or operating outcome.
Sales and customer service
Qualify enquiries, prepare follow-up, update the CRM, answer routine requests and route the cases that need a person.
Finance and administration
Collect documents, check records, follow up on receivables, prepare routine reporting and keep approvals visible.
Marketing, social and ads
Turn a campaign plan into briefs, channel-ready work, review queues, publishing tasks and performance follow-up.
Operations and HR
Coordinate orders, vendors, schedules, onboarding, employee requests and recurring checks across the systems involved.
One operating model keeps the workforce useful.
Agents are not isolated chat windows. They work inside a shared structure for context, action, governance and evidence.
Shared business context
Approved customer history, company information, policies and past decisions are available to the agents that need them.
Work that crosses systems
An agent can gather information, complete the routine action, route an exception and update the source of record.
Governance designed with the job
Access, approval points, stop conditions and accountable owners are defined before live work begins.
Evidence after every run
The operating record shows what the agent used, what it did, where it paused and what outcome returned.
What we believe.
A few principles shape every agent we put into production.
You own everything we build.
The agents, workflows, logic, and operating knowledge live in your environment, on open protocols. Yours from day one, nothing to rent, and all of it moves with you if you ever move on.
Built to run, not to demo.
We ship agents that carry real work in production, not a slide deck or a chat window. You watch the job run end to end before it ever reaches a customer or a colleague.
A human is always in the loop.
No black box that runs itself. Every agent step is logged and gated by a named owner, and that audit trail is what lets the business hand over work with confidence.
We would rather say "not yet".
We start with an honest read on whether an agent is the right fix. If the process or the data is not ready, we say so. A useful assessment is allowed to end with "not yet".
Made for a business with real operating weight.
OpenAnalyst is most useful when the company has working systems, repeatable demand and leaders who want capacity without giving up visibility or control.
A good fit has more work than manual coordination can comfortably carry.
That may be an established MSME adding customers and channels, or a medium business standardising work across functions and locations. The common need is a repeatable process, a clear owner and a result worth improving.
What needs to be true
The business can name the recurring job.
The systems and records can be identified.
A person owns exceptions and the result.
The team will compare live work with a baseline.
Practical principles shape every deployment.
The technology matters. The operating choices around it matter more.
Start with useful work
Choose a job the business already understands, not a technology demonstration looking for a purpose.
Keep ownership visible
Name who sets the rule, who receives exceptions and who is accountable for the result.
Put judgment where it belongs
Let agents carry routine action while people retain customer, financial and business decisions.
Measure before expanding
Build the next workflow from observed live evidence, not from a broad promise about AI.
Built so you keep control.
The questions your security, finance, and brand leads ask first, answered before they have to ask them.
Your environment, your access
Agents work inside the systems you already run, on access you grant and can revoke. Nothing migrates to a platform of ours, and nothing leaves your control.
You own what we build
The agents, workflows, logic, and operating knowledge are yours from day one, on open protocols. No seats to rent, no lock-in, nothing to lose if we part ways.
A named owner and a full audit trail
Every agent action is checked against the rules you set and logged end to end, gated by a person on your team. The audit trail is what brand and legal sign off on.
Your data stays yours
We never train shared models on your data. Access is least-privilege and scoped to the workflow in front of it, nothing more.
Backed by the people building what comes next.
Member
NVIDIA Inception
OpenAnalyst is a member of the NVIDIA Inception Program, NVIDIA's programme for the AI startups building what comes next.
Not sure we are the right fit?
Ask an AI you already trust. We would rather you hear it straight than take our word for it.
Find the repeated work hiding inside the growth.
Bring one delay, queue or handoff your team sees every week. We will map the job, its context, its controls and the result worth measuring.