Add an AI workforce where the business needs capacity.

OpenAnalyst designs and operates specialist agents and automations across sales, service, finance, marketing, operations, and people—inside the systems your teams already use.

OpenAnalyst operating view

One job, connected end to end

Live
Signal

Priority work arrives

Context

Records and rules gathered

Agent

Repeatable work completed

Outcome

Result written back

The same business context can support the next agent, team, or location.

Specialist agents across the business.

Start in one function or coordinate work across several. Every agent has a clear job, shared business context, and a visible outcome.

Sales

Qualify demand, prepare the next move, and keep follow-up current.

Service

Resolve requests with the full customer history in view.

Finance

Keep collections, approvals, and reporting moving.

Marketing

Turn campaign and market signals into timely action.

Operations

Coordinate orders, exceptions, and recurring operating work.

People

Keep hiring, onboarding, and employee requests on track.

Built around the way your company operates.

OpenAnalyst connects the parts a standalone automation usually misses: company knowledge, operating rules, specialist execution, and control.

Agents work from your company knowledge.

Approved customer records, documents, transactions, rules, and past work stay available throughout the job.

What stays connected

Customer and account history

Company rules and approvals

A record of completed work

A practical route from priority to production.

The work begins with a business outcome, not a technology shopping list. Each launch creates a foundation the next agent can reuse.

Find the operating gap

Choose recurring work that affects revenue, service, cash flow, delivery, or team capacity.

Connect context and systems

Agree the records, tools, rules, and decision owners required to complete the job.

Prove it on live work

Test realistic cases, inspect the actions and outcomes, then launch with a clear measure.

Expand from a working foundation

Reuse the same knowledge, controls, and connections when the next agent is added.

Choose the operating model that fits now.

Start with one useful agent, coordinate a connected workforce, or ask OpenAnalyst to run and improve agents with your team.

Launch one priority agent

Put one specialist agent to work on a recurring job with a clear owner and business outcome.

Job and success measure
Systems, access, and rules
Testing and launch
Team guide and handover
Book a fit call

Build a connected AI workforce

Coordinate several agents across departments that depend on the same customers, records, and company rules.

Priorities across teams
Shared business context
Coordinated launches
Access and approval model
Plan the workforce

Run and improve live agents

Keep quality, adoption, and new automation opportunities moving with ongoing OpenAnalyst support.

Named OpenAnalyst lead
Performance review
Agent improvements
Next-job planning
Discuss managed support

Questions before we put agents to work.

Start with a recurring job that already affects revenue, customer response, cash collection, delivery, or team time. We map what starts it, which systems it touches, who owns it, and what a good result looks like.

Where could an AI workforce create the clearest operating capacity?

Bring a business priority. We will map the repeatable work, systems, controls, and a sensible first deployment.

Book a fit call