No. A marketplace hosts other sellers; PROMIVO does not. Every one of the 146 agents here is built and maintained by us, and there is no way for anyone else to list anything. What PROMIVO offers is a first-party catalogue of ready-made AI agents you can browse, compare and deploy, instead of building one from a blank prompt — and an automation platform to run them.
How the catalogue works
Browse by category, industry or task, or search for the outcome you need. Every agent states what it reads, what it produces and which integrations it requires before you deploy it.
Each agent is a versioned definition: a system prompt, a set of tools it may call, an input and output schema, execution limits, and a ceiling on the actions it may take without approval.
Deploying an agent puts it in your workspace, where it runs server-side. You can run it manually, schedule it, or place it as a step in a workflow.
You connect your own AI provider account. PROMIVO charges for the platform and the agents; the model usage is billed to you directly by your provider.
What is PROMIVO?
PROMIVO is an AI agent platform that helps businesses deploy AI agents and automate real workflows. It combines a catalogue of ready-made agents, a workflow builder, integrations with the tools you already use, and custom agent development for work the catalogue does not cover.
How do I choose the right agent?
Start from the task, not the technology. Filter by category or search for the outcome, then read what the agent reads and produces. Every detail page lists its inputs, outputs, required integrations and the plan it is available on, so you can tell before deploying whether it fits your process.
Do I need my own AI API key?
Yes, on every plan including the free one. You connect your own Anthropic or OpenAI account and pay that provider directly for model usage. PROMIVO does not resell AI usage or add a margin to it, and there is no PROMIVO-funded allowance: without your own key connected, an agent does not run.
Which industries and workflows does PROMIVO support?
The catalogue spans sales, marketing, customer support, finance, operations, compliance, human resources and legal work, among others. Rather than a fixed industry list, browse by category or search for the specific task — the agents are organised by the work they do.
What if no agent fits my process?
Send a brief describing your business, the problem, the tools you already use and the outputs you need. Three scopes — Adapted, Built and Regulated — and each one is included with an annual plan rather than sold separately. The agent is built from your brief and delivered into your workspace, and it is yours.
You connect your own AI provider account. PROMIVO charges for the platform and the agents; the model usage is billed to you directly by your provider. Pricing · Integrations · Custom agents
States what would have to be true, and what happens when it is not
Turns a project idea into a structured feasibility study built around the two or three assumptions that actually decide it, with the break-even on each and what to go and measure first.
Takes over: Producing the study a lender or a partner expects, with the assumptions exposed rather than buried.
Says which field made money, not which field yielded well
Builds a gross margin per hectare for every field from your own input, operation and yield records, separates fields that lose money every year from fields that lost money this year, and finds inputs with no measurable return.
Takes over: Building a gross margin per field instead of per farm.
Counts backwards from the opening date to find what is already late
Turns a furniture and fittings schedule into a dated critical path — production, shipping, approvals and site readiness — and names the items whose decision date has already passed.
Takes over: Turning a furniture schedule into a dated critical path.
Describes what the chart shows, and refuses to tell you what to do
Reads price and volume for structure — ranges, tested levels, volatility regime, unusual activity — with the sample size behind every observation, and no recommendation of any kind.
Takes over: Reading charts across a watchlist and writing down what actually changed.
Counts each customer once, however many channels claim them
Reconciles platform-reported conversions against customers actually acquired, shows the double-counting explicitly, and reports true blended cost, spend that produced nothing, and customers acquired above their worth.
Takes over: Reconciling what channels claim against customers actually acquired.
Finds what the marketplace charged wrongly, and what it owes you
Rebuilds marketplace settlements against your own catalogue and shipments — wrong size bands, wrong category rates, lost and damaged inventory, refunds without returns — each with its claim deadline.
Takes over: Rebuilding marketplace settlements against your own catalogue and shipments.
Finds where one metric name means three different things
Reads the queries behind your dashboards and reports where the same metric is computed differently, where different names compute the same thing, and which reports would disagree in a meeting.
Takes over: Establishing what each metric actually computes, across every dashboard.
Runs the whole close: tracks every task against your own timetable, checks the reconciliations actually reconcile, and reports what an auditor would find first.
Takes over: Chasing the close by hand: who has done what, and re-checking the reconciliations that came back.
Finds the bookings about to be missed, while there is still time to sell the slot
Ranks upcoming appointments by the risk of being missed, drafts the intervention for each, and matches a freed slot to the people who asked for exactly that time.
Takes over: Working out which of next week's appointments will not happen, early enough to sell the slot to somebody else.
Finds the dead deals your forecast is still counting
Reads every open deal for the signals that it has died — silence, slipped dates, a departed champion, no next step — and reports what the forecast would be without them.
Takes over: Testing whether the deals behind a forecast are still alive.
Reads workflow timestamps to separate queue time from touch time, finds the step and the structural cause holding everything up, and measures the rework loops a throughput number hides.
Takes over: Measuring where end-to-end time actually goes in a process.