Agently AI treats the workflow — not just the agent — as the unit of intelligence. Because production issues often appear in the handoffs between agents, systems, policies, and people.
Agently AI starts with Salesforce Agentforce or your first approved source of agent activity, then expands across the agentic platforms and enterprise systems where your workflows run — so leadership can see, govern, and fix what they've already shipped.

Agent Catalog
The source of truth for every AI agent running in your enterprise.
Workflow Catalog
Agents mapped into the business workflows that run the company.
Intelligence Engine
The layer that makes every workflow run better than the last one.
Spike detected
Escalation rate on the Customer Refund workflow rises 38% week-over-week.
Root cause mapped
Triage agent confidence is below threshold on refunds over the policy bound.
Recommendation generated
Trace-grounded fix: raise confidence threshold above the policy bound and route to human approval.
Approved by owner
Process owner receives evidence and approval is granted within 18 hours.
Verified after deploy
Escalation rate measured 7 days later. Down 64%. Verified.
Read-only by default. Write back only with named approvals.
Get evidence-backed answers from connected catalogs — questions like "Which agents are running in Salesforce?" answered inline. No new tool to learn. No dashboard to onboard.
you
Which agents are running in Salesforce?
agently ai
7 agents active across 3 workflows. 1 flagged: confidence drift on Customer Refund triage (−12% week-over-week).
Fewer hidden agent failures
Drift, regressions, policy gaps surface as evidence before they hit customers.
Better policy and approval coverage
Gaps detected at the workflow level. Approval routing tightens every cycle.
Faster root cause analysis
Traces, evals, and outcomes joined in one view. Minutes instead of war rooms.
Lower AI operating risk
Audit-ready evidence for procurement, compliance, and board updates.
Reusable remediation playbooks
Every fix becomes a published pattern the next team can apply.
Workflow-level business intelligence
Process owners see scorecards tied to the outcome the workflow is supposed to produce.
Agently AI Cloud
Hosted by Agently — the fastest path.
Agently AI Self-Hosted
Customer-controlled deployment for teams with stricter architecture, residency, or security requirements.
Day 30
Agent Catalog live
Day 60
Workflow Catalog live on your first 3 workflows
Day 90
Intelligence Engine live
Agently AI is the Enterprise Workflow Intelligence platform. It gives leadership workflow-level visibility, governance, evaluation, tracing, and remediation for AI agents running across Salesforce Agentforce and the modern enterprise stack.
No. Agently AI sits on top of the systems already in production and connects the operational context across them so the enterprise can detect, explain, recommend, approve, and verify fixes — without changing the underlying systems.
Two options: Agently AI Cloud (hosted by Agently — the fastest path) or Agently AI Self-Hosted (customer-controlled deployment for teams with stricter architecture, residency, or security requirements). Read-only first where supported by source systems. Write-back actions require configured permissions and named approvals. Configurable audit logging in both modes.
The full platform live in 90 days, end-to-end. Day 30: Agent Catalog live. Day 60: Workflow Catalog live on your first three workflows. Day 90: Intelligence Engine live (evals, traces, recommendations, self-improving loop). You can stop after any phase and keep what you have built.
Yes. Agently AI is built by Teqfocus — a Salesforce Summit Consulting Partner with enterprise delivery experience across Salesforce, Data, AI, and Cloud.
A focused 45-minute session on your workflow — not a generic demo.