FlowClick + AI

FlowClick doesn't compete with your AI tools.
It puts them to work.

Keep Claude. Keep Gemini. Keep your vertical agents. FlowClick is the orchestration layer where their intelligence becomes finished, auditable work — across every team and system.

Assistants answer. Agents assist.
FlowClick runs the process.

Layer One

Assistants answer.

Claude and Gemini give individuals on-demand intelligence — chat, drafts, analysis. Then someone has to copy the answer somewhere and act on it.

Layer Two

Agents assist.

Vertical agents do tasks for one team, in one domain — revenue, support, recruiting. Each one is its own tool, its own data silo, its own subscription.

The Process Layer

FlowClick runs the process.

Always-on, deterministic, auditable workflows across teams and systems — with those same AI models embedded inside every flow.

Architecture

Three layers, one system

Intelligence reasons. Systems of record remember. FlowClick is the layer between — where decisions become actions, with an audit trail.

Intelligence
Claude · Gemini · vertical agentsModels, assistants, and agents that reason, draft, and advise.
↓ agent steps call models↑ workflows published as MCP tools
Orchestration — FlowClick
Triggers · approvals · validation & enrichment · documents · email/SMS · audit trailsEvery flow can embed an AI agent step — and every flow can be exposed as a tool your AI assistants call.
↓ APIs · webhooks · schedules↑ data changes trigger flows
Systems of Record
CRM · OMS · finance · email & filesWhere campaigns, orders, and business data actually live.
Two-Way Integration

AI inside your flows.
Your flows inside your AI.

Most platforms bolt AI on in one direction. FlowClick connects both ways through the open MCP standard:

  • AI inside flows: an agent step in any workflow classifies, enriches, summarizes, routes, and generates — powered by frontier models, Claude by default
  • Flows inside AI: publish any workflow as an MCP tool, and your team's Claude can trigger it mid-conversation — "send the renewal proposal to Acme" actually sends it
  • Cost-optimized model routing sends simple work to cheaper models automatically
  • Every AI action logged in the same audit trail as everything else
 Claude — Team Chat
👤 "Send Acme their Q3 performance report"Prompt
↓ Claude calls FlowClick MCP tool
⚙️ generate_client_report flow runsExecuting
📄 Branded PDF emailed · logged · doneAudited
Side by Side

AI assistants analyze. FlowClick automates.

This isn't a contest — it's a division of labor. Here's who does what.

CapabilityAI assistants (Claude / Gemini)FlowClick
Chat, analysis & content generation World-class Same models, embedded in flows
Workflow execution engine Visual builder, limitless steps via Marketplace
Built-in database 22 semantic column types
App & portal builder Point-and-click, no code
Recurring automation Manual re-prompting Schedules, triggers, webhooks
Human approval gates First-class flow steps
Documents, email & SMS Text output only Native PDF engine + comms
Audit & compliance Conversation logs only Full audit trail · HIPAA / SOC 2
On-premise deployment Cloud, on-prem, or standalone
Budgets & Coexistence

They meet in the workflow,
not in the budget line.

Adopting FlowClick doesn't mean dropping anything. Your AI subscriptions handle personal productivity; FlowClick handles the processes around them — and its AI usage is metered, so there's no second AI platform to buy.

Platform: flat subscription

The workflow engine, app builder, database, and portals on flat tiers. Costs don't spike when automation succeeds.

AI: pay for what you use

Agent steps are metered on actual model usage, with cost-optimized routing to cheaper models for simple work.

Your AI tools: keep them

Claude and Gemini stay exactly where they are. FlowClick makes each of them more valuable, not redundant.

Put your AI to work

Bring us one process your team runs by hand today. We'll show you what it looks like running itself — with your AI tools inside it.

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