Governed Execution Infrastructure
70% of enterprise AI projects fail to reach production because execution isn't controlled. Stackmint lets you deploy governed AI workflows with execution gates, budget limits, and measurable business outcomes.
Production Readiness
Authority, spend, and execution paths stay controlled before anything touches a live system.
Execution gates
Active
Budget ceiling
Per-run enforced
KPI contract
Outcome-linked
Execution Trace
What a governed capability actually looks like in production:
Governed Capability Run
renewal_protection / runtime trace
Execution Manifest
Inputs: opportunity_id, account_context
Outputs: outreach_message, crm_update
Step 1
Trigger: AI flags at-risk $2M renewal opportunity.
Step 2
Enrich: AI maps new buying committee data from ZoomInfo.· latency: 320ms · source: ZoomInfo
Step 3
Paused for ApprovalHITL Gate Triggered: VP Approval required before external action.· policy: legal_approval_required · approver: VP RevOps
Step 4
ResumedExecution: VP Approves. AI drafts executive outreach, logs activity in Salesforce, and notifies AE in Slack.· execution_id: exec_f47d2 · status: success
Definition
A Capability is a governed workflow packaged around a business outcome. It replaces the fragility of raw agents with the control of enterprise software.
Agents
Probabilistic chat.
Black-box execution.
Unpredictable AI cost.
No native compliance routing.
Capabilities
Packaged business outcomes.
Hard-coded budget circuit breakers.
Human-in-the-loop (HITL) escalation.
Real-time ROI telemetry.
Live Environment
See the difference between a raw prompt and a governed execution. Enter your work email below. We will trigger the demo_outreach_v1 capability to enrich your domain, enforce PII/budget policies, and execute a verified send to your inbox, streaming the audit trail in real time.
By executing, you agree to receive one automated email containing your execution contract. We do not store this data.
Live Execution Trace
runtime / governed send path> capability: demo_outreach_v1
Economic Wedge
The AI research phase is over. Executives demand operational control and hard financial returns.
Never pay for a runaway hallucination. Hard-coded financial circuit breakers kill executions that exceed your per-run budget.
Budget Controls
Add budgets per team, agent, and workflow. Manage retry limits and execution thresholds with granular precision.
Stop guessing at the impact. Define, track, and measure the exact business metrics your leadership team cares about most.
Measured KPI Delta
+38% blended lift
Pipeline Protected
Renewal coverage secured
$2.0M
KPI 01
L1 Deflection
Tickets auto-resolved
42%
KPI 02
Deal Desk Cycle
Median review time
-37%
KPI 03
Illustrative data based on enterprise deployment.
Ensure every AI decision passes through your company's compliance, legal, and routing policies before execution occurs.
Approval Gates Active
3 policiesLegal, finance, and outbound routing checks armed before any external action.
Last Decision
CompliantOutbound action routed to VP approval after policy validation completed successfully.
Policy Coverage
Define routing across legal, finance, and operational policies. Every execution path is validated before external action.
Architecture
Keep the reasoning power of modern LLMs. Control the authority, spend, and execution paths.
Guarantee 01
Hard-coded budget circuit breakers.
Guarantee 02
Human-in-the-loop (HITL) escalation.
Guarantee 03
Real-time ROI telemetry.
Inspect the control stack that keeps reasoning powerful while execution stays budgeted, approval-aware, and measurable.
Governance Lens
Every run is evaluated against financial limits, escalation rules, and company policy before any action is allowed to move forward.
Hover over a layer to inspect how control is enforced.
Reasoning stays probabilistic, but authority, spend, and execution paths remain governed.
Ecosystem
Don't start from zero. Deploy pre-modeled operating patterns packaged by trusted operators and top System Integrators. Benefit from instant reuse without rebuilding the execution layer.
Deploy pre-modeled operating patterns for the workflows leadership teams need to control first.
Package specialist know-how into governed workflows without rebuilding the execution layer from scratch.
Institutionalize implementation playbooks across the systems your enterprise already depends on.
Next Step
Bring governed execution, cost control, and measurable ROI to your enterprise.