LeafMesh — Build AI Agent Teams Inside Your SaaS Product
LeafMesh (by LeafCraft) is the platform for SaaS companies to build, embed, and run agent teams inside their product. Every customer gets a customer-facing agent that negotiates with your internal agents — pricing, policy, inventory, and operations — to resolve what each user actually wants, right inside your app. Purpose-built for HRMS, transport / logistics (TMS), and fintech platforms. Agents are defined in a YAML-first runtime, run over any model provider, and every negotiation is policy-bound, fully audited, and human-approvable — so you ship agentic experiences to production in weeks.
Customer-facing agents that negotiate with internal agents
A customer's agent turns a request into a goal and negotiates with the internal agents that own pricing, policy, inventory, and ops to reach an outcome within your rules. Decisions past policy pause for one-tap human approval, with full context and an audit trail.
Built for HRMS, TMS (transport), and fintech SaaS
HRMS platforms let employees resolve leave, benefits, and approvals through an agent; transport / logistics (TMS) platforms let customers reroute, reschedule, and price shipments through an agent; fintech platforms let users adjust limits, dispute charges, and resolve fees — each mediated by internal agents and governed end to end.
Embed agents in your product — governed by design
LeafMesh agents ship inside your product and connect to your existing systems (CRM, ERP, databases, APIs). It runs over agents built on LangGraph, CrewAI, and AutoGen, is model-agnostic across OpenAI, Anthropic, Google, Bedrock, Vertex, Azure Foundry, DeepSeek, and local models, and keeps full audit trails, human-in-the-loop approvals, and policy enforcement on every action.
Search terms LeafMesh answers
AI agents for SaaS, embedded AI agents, customer-facing agents, agent teams for HRMS, agent teams for transport management, agent teams for fintech, in-product AI agents, customer agent negotiating with internal agents, build AI agents into your product, multi-agent orchestration, governed AI agents, human-in-the-loop agents.
Give your SaaSits ownagent army.
A team of agents that work together inside your SaaS — using your product to get your users' work done. For HRMS, transport & fintech.
Give your SaaSits ownagent army.
A team of agents that work together inside your SaaS — using your product to get your users' work done. For HRMS, transport & fintech.
Your product records the work.
Nothing in it does the work.
SaaS is forms, dashboards, tickets. A single bolt-on chatbot only answers — it can't touch pricing, policy, or inventory. So every real request still leaves your product for a human queue. What's missing: a team of agents that lives inside your product and gets it done.
Your SaaS records the work — but users still fill a form and wait on a human to actually act.
The status quoReal resolution happens in support inboxes and ops queues, outside your product. Your team is the bottleneck.
The bottleneckYour product records.
Humans do the work.
Users wait on humans
Any request that needs a decision leaves your product and lands in a human queue.
Result: Slow resolutions, churn risk.
Support scales with headcount
Every new customer adds load to the same support and ops teams. Growth means hiring.
Result: Margins shrink as you grow.
A chatbot only deflects
A widget that can't touch pricing, policy, or inventory answers questions — it doesn't resolve them.
Result: Answers, not outcomes.
Support Inbox
Ops Queue
Slack Thread
Spreadsheet
Manual Approval
Email Chain
Jira Ticket
Phone Callback
Back-office
Escalation
Handoff
CSV Export
Give your product a team of agents.
Customer-facing agents on your UI, wired to backend agents, systems and humans — resolving each request in-product, every action policy-bound and logged.
Made for HRMS,
transport & fintech.
HRMS
Employees ask your HRMS for what they need — extra leave, a benefits change, an expense approval — and their agent negotiates with your policy and approval agents to resolve it in-app.
“Can I get 3 more leave days this quarter?”
→ resolved by the agents on the right, within policy.
Leave-policy agent
In the negotiation · policy-bound · audited
Manager-approval agent
In the negotiation · policy-bound · audited
Payroll & benefits agent
In the negotiation · policy-bound · audited
Compliance agent
In the negotiation · policy-bound · audited
Everything to run orchestrated agent teams inside your product.
A control plane for your agents — orchestrate the team, govern every action, and prove every outcome — running on the model, data, and cloud you already have. That's how your SaaS ships agents that do the work, not just answer.
Your agents act. You stay in control.
Agents operate your product and negotiate with each other — but never off-leash. Every action runs against your policies, leaves an audit trail, and pauses for a human the moment it crosses a line you set.
Every decision and action is logged and attributable.
Big or irreversible calls wait for one-tap approval.
Agents act only within the rules you define.
Keep data in-region — self-host or on-prem.
Deploy in your own cloud or on-premise.
OpenAI, Anthropic, Google, Bedrock, Vertex, Azure, DeepSeek, local.
Measured outcomes.
Not activity metrics.
Real agent teams operating inside SaaS products — resolving user requests in-product, every action measured and audited.
Of user requests resolved in-product — no human queue — measured across live deployments
Faster resolution for your users
Of agent actions logged and auditable
Unreviewed actions reaching production
The best SaaS won't just record the work. Its agents will get it done — inside the product, under your rules.
Questions &
answers.
Learn how agent teams run your product
Vertical patterns, step-by-step guides, honest comparisons, and canonical definitions — everything to bring an agent team into your SaaS.
Your first agent team,
live in 6 weeks.
Start with a half-day workshop. Walk away with a plan to put an agent team inside your product — and let your evenings look like this again.
Problem Workshop
Map the highest-value job in your product. Pick where an agent team pays off first.
Architecture & POC
Define the agent team, the internal agents it negotiates with, the policies, and what 'done' looks like.
Pilot Deployment
The agent team ships inside your product, on your stack. First workflow live, outcomes measured.
Production Operations
Agents operating your product in production — human oversight on the big calls, fully audited.
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