A working modern fulfillment warehouse — autonomous mobile robots moving on the floor, a conveyor with packages overhead, an operator in a safety vest watching.

Intelligence built into every workflow.

Fourier turns operational workflows into agent-run systems with clear handoffs, audit trails, and measurable outcomes.

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Across operations

Anywhere a real team runs the work.

Fourier deploys into the operational surfaces where decisions happen, work moves, and outcomes get measured — from intake to dispatch, the field, and the floor.

Solutions

Where Fourier agents run.

Each agent is designed in collaboration with the operators who run the work today. Reasoning where the work is ambiguous, deterministic controls where policy is fixed, and native tool use across every system the team already depends on. Six surfaces where an agent earns its place inside a real team — same evaluation harness, same audit trail, same handoff model.

Sales Operations

Qualify inbound, route to the right rep, follow up on quiet leads, and schedule across the CRM, email, phone, and calendar.

Faster handoffs

Customer service

Resolve routine requests, update tickets in the system of record, and escalate the cases that genuinely need a human.

Higher resolution

Recruiting and onboarding

Screen candidates against the requisition, confirm availability, and coordinate the next step in the pipeline.

Cleaner pipelines

Scheduling

Coordinate technicians, assets, and customer windows against live constraints — weather, drive time, parts.

Fewer misses

Collections

Trigger reminders, verify payment context, and close the loop in finance tools without paging the controller.

Controlled follow-up

Business Processes

Extract data from documents, check the work against policy, and move cases through the approval queue.

Audit-ready work
A QA analyst reviews two side-by-side runs of an agent at her workstation.

Governance and evaluation

Test continuously. Improve the operating curve.

Every deployment ships with version comparisons, exception review, and operational reporting. Agents in production are not prompts in production — they're systems that get measured against the same benchmark, week after week.

The operating model

Proactive agents alongside the team.

Insight, data, and execution connected into one operating layer. Agents take approved action across tools and channels. Every interaction builds intelligence the next agent inherits. Teams see the exceptions, bottlenecks, and opportunities that move the business — and act on them sooner.

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Reliable infrastructure

Designed for scale, watched in production.

Production-grade controls in place from day one. The system runs at 2 AM and on Sundays, traces every decision back to its source, and absorbs scale without a re-architecture.

Observable

Performance, queue depth, and exception rate visible across every agent, every workflow, every channel.

Live telemetry

Explainable

Each decision traceable to the rules, data, tools, and outputs that produced it.

Full audit trail

Scalable

Production controls, fallbacks, and concurrency limits in place from day one — not bolted on at month six.

Built for volume

Deployment model

Forward-deployed builders. Measurable impact.

Builders work alongside your operators and engineers to find the highest-value automations, ship them in weeks, and tune them against the metric you actually report on.

Speed

First production workflow in weeks, not quarters. Forward-deployed work compresses the discovery-to-ship loop.

Optimization

Release cycles tied to a single business metric. We agree on the number before we ship — then we move it.

Adoption

Operational visibility for every team that touches the agent. The system that ships gets used because the people who use it helped build it.

Fourier

Deploy agents where the work actually happens.

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