Managed
Cloud-Native
AWS, Azure, or Google Cloud Platform with automated scaling and redundancy.
Best for: fastest global rollout
Agentic Workflow Engine
A shared workflow engine for
agents and humans.
Flowtuple models your process as an explicit machine, then lets a person or a specialist agent stand in any step. Agents do the work, people hold the gates, and the workflow, not the model, decides when anything moves.
No agent runs a whole process on its own, and no amount of handoffs or bolt-on skills changes that. The process itself has to be orchestrated, with gates and with people stepping in where judgment belongs.
A live workflow · supplier onboardingagents fill the slots · people keep judgment
The problem
None of these are edge cases.
This is what knowledge work mostly is.
Small, repeatable, error-prone steps, strung into long workflows nobody owns end to end. They have been digitized: the spreadsheets are online, the emails are searchable. They have never been modeled.
Property management · 9:04 PM
A tenant reports a leaking ceiling.
Five touchpoints. Six people. Three days.Retail · store floor
A shirt with no price tag. A photo, an email to IT.
Three days later: “Which SKU is it?”Recruiting · 6:40 PM
Thirty resumes. Four interviews. One offer to draft.
Again tomorrow.Compliance · filing week
The same form. Twelve jurisdictions. Twelve deadlines.
Miss one: a fine. File it wrong: a worse one.Your workflows have been digitized.
They have never been modeled.
Until the workflow itself is modeled, AI can only make individual steps slightly faster. Model it, and every step becomes a slot where a person or a specialist agent can stand, and swap, without rebuilding anything.
How it works
Model once. Staff each slot.
Dial the autonomy.
01
Model the workflow
Your process becomes an explicit, versioned state machine: states, transitions, guards, triggers, actions, and a complete audit trail. Nothing stays buried in email or tribal knowledge. Our team models it with you; you see your work the way it actually runs.
02
Deploy specialist agents into the slots
Narrow agents with defined jobs: extraction, triage, matching, drafting, scheduling, filing prep. Each agent works one state, calls governed tools, and updates your systems of record. Take any agent back the moment it underperforms; the workflow does not change.
03
People keep judgment
Approvals, exceptions, and customer contact stay human. Each step moves along the autonomy curve at your pace: approval loop, then delegate-and-notify, then standing rules, and back again with one setting. Some steps, like a filing submission, never leave the loop.
Built on seven primitivesEntitiesStatesTransitionsEventsTriggersInterventionsActions
The experience
One login. One chat window.
An interface that composes itself.
Generated around the person and the task
A VP sees onboarding analytics. A recruiter sees the candidate file with the resume and comment chain. A consultant sees the filing report, line by line. Same window, different composition.
Generative, but bounded
The layout is generated per request; the parts are not. Dashboard objects, kanban boards, lists, tables, forms, and task actions make up a fixed library, rendered via MCP UI. Nothing hallucinates a control that does not exist, and every surface is one you already know how to read.
Chat is one way in, not the only way
Quick actions, pinned views, and standard screens work without a single message. And what renders is live: approve, resolve, escalate, and comment right in place.
Flowtuple
Sample data · live actionsRM
Chat is one way in. Quick actions, pinned views, and standard screens work without it.
Generated for this taskcomposed on demand from a fixed component library · rendered via MCP UI · live actions
Dashboard objectsKanban boardsListsTablesFormsTask actions
Running on sample data. Switch personas or tap a quick action and the surface is composed again from the same six components, and you can watch which ones the request selects. The supplier board is a live state machine: it advances one guarded transition at a time, and stops when a guard says no.
Under the hood
The agent proposes.
The workflow decides.
An agent’s confidence is never what moves work forward. The workflow enforces every rule below, which is why the supplier in the demo above stops dead at a sanctions hit no matter how sure the vetting agent is.
Gates hold, whatever the agent thinks
A step only advances when its conditions are actually met. In the demo above, the supplier stops the moment sanctions screening returns a possible match, and nothing moves it on until a person clears it. The block is real, and it is recorded.
Every action is logged and traceable
Each step, agent action, and human decision is recorded with who did it, when, and why. Retries never double-post to your systems, and the whole trail replays end to end whenever someone asks.
Each agent owns one step
Agents are narrow specialists, one to a step. Improve or replace the one that underperforms without touching the rest, and test it on its own. You roll back a single step, never the whole workflow.
You set how much autonomy each step gets
Move any step along the curve from full approval, to notify-me, to standing rules, and back again, without a redeploy. Steps that must always keep a human, like a final submission, are locked that way by policy.
Your systems of record stay current
Agents work through a defined set of tools with scoped access. Your ERP, CRM, ticketing, and MDM stay up to date because updating them is a modelled step in the workflow, not an afterthought.
Workflows are versioned
Change a rule and ship a new version. Work already in progress finishes on the version it started under, so there is no scramble to migrate cases midway and no argument about which policy applied when.
What we are building
Different workflows on the surface.
The same platform underneath.
Flowtuple is in beta. These are the workflows we are modeling alongside our design partners across retail, financial services, property management, compliance, and recruiting.
Retail
Supplier & vendor onboarding
Guided intake, KYB and sanctions screening, document extraction, risk-tiered approvals, and banking verification. Agents run the checks, and the gates that matter, like a sanctions hit or the final activation, stop for a human.
B2B financial services
Client onboarding
KYC and KYB, beneficial-ownership resolution, document collection, and risk scoring across a long-running case. Every decision carries an actor and a reason, because someone will eventually ask.
Property management
Tenant complaints
The first agent takes the incoming call and creates the case. Others triage, assign, source vendors, and propose resolutions. Humans verify and approve.
Retail
Retail missing tickets
A store associate’s photo runs through image-to-metadata and an MDM lookup. Agents match the SKU; people confirm the edge cases and fix the floor.
Compliance
Regulatory filings
Agents prepare drafts in exact submission formats, gather evidence, and flag inconsistencies. Review and submission never leave human hands.
Internal
Recruiting
Resume extraction and interview analysis run on agents; screening, scheduling, and offer drafting are being modeled next. We run our own hiring on it.
Go-to-market
CRM & sales content
Long-running deals with external system sync, agent-driven enrichment and follow-up drafting, and generative work behind approval gates.
Built to be trusted
Strong beliefs, held under load.
Specialists, not generalists
A fleet of narrow agents is improvable, debuggable, and replaceable one at a time. The workflow is the conductor; the agents are the orchestra.
Audit is a precondition
Every transition, agent action, and human decision is logged with idempotency and correlation. Trustworthy enough for a compliance officer to defend.
Humans migrate, they don’t disappear
Early on, people do most of the work. Over time agents do, and people hold verification, judgment, and exceptions. We sell leverage, not the fantasy of full autonomy.
You buy outcomes
Delivered as agents-as-a-service: we model the workflow and introduce the agents; you see the work get done. Self-configuration is a destination, not a prerequisite.
Deployment Architecture
Deployment Options
Deploy wherever your security and compliance requirements demand.
High Security
Air-Gapped
Full deployment on private infrastructure with complete data sovereignty.
Best for: regulated workloads
Flexible
Self-Hosted
Ships as Docker Compose with optional Helm and Terraform modules.
Best for: custom platform stacks
Operations
Observable
Built-in Prometheus/Grafana observability with secure LLM proxying.
Best for: production monitoring
The workflow stays the same. The executors change.
Flowtuple is in beta with design partners. Tell us about a workflow that deserves a spine.