Seven engines. One connected commercial system.
The core loop runs each stage from first lead to renewal or a return purchase. The enabling layers run across all of them. Start with the ones you need.
The GTM Outcome Engine50+ integrations. The systems your business runs on.
Not just the ones with a native connector. Every integration is governed and monitored as part of the engine.
All integrationsAI agents are only as good as the rules they follow.
We set the rules for the AI agents in your CRM: what each agent can read, change and decide.
When a case falls outside those rules, the agent hands it to a person on your team. Dashboards show what each agent did, and we review the rules with you each quarter.
The fastest way to lose trust is an unsupervised agent.
Speed without guardrails isn't efficiency. It's risk.
AI agents now do work that used to need a human. They write emails, qualify leads, route tickets and update records.
Most businesses deploy agents without answering basic questions. What is this agent allowed to do? What happens when it's wrong? Who's accountable when it emails a client something it shouldn't have?
Without governance, agents don't just make mistakes. They make mistakes at scale. One bad rule runs a thousand times before anyone notices.
You wouldn't give a new employee access to every system on day one with no training. Your agents deserve the same rigour.
Discover. Assess. Govern. Monitor.
A four-stage approach. A living system that evolves with your agents.
Discover
A 90-minute governance discovery session with your leadership team. We trace how decisions get made, where data flows, what agents you're already using or planning to use, and where the gaps are.
Assess
We score your AI readiness across data quality, process codification, integration maturity, and escalation preparedness. This tells us which governance modules to activate now and which to stage for later.
Govern
We define the boundaries, configure the guardrails and document everything. Each agent gets rules about what it can read, write and decide. Escalation rules set when a case goes to a person, and prohibited actions are blocked.
Monitor
After go-live, dashboards track what agents do, when a guardrail stops them and the health of the data they use. We keep testing edge cases and failure modes against real activity. Quarterly reviews adjust the rules as your business changes.
Modular by design. Composed for your reality.
Not every business needs all 13 on day one. Discovery determines which activate first.
AI Readiness Scorecard
Assesses your data quality, process maturity, and escalation readiness before any agent goes live.
Governance Framework
The master document: agent boundaries, prohibited actions, escalation logic, and data dependencies in one place.
Agent Boundary Definitions
Per-agent rules defining exactly what each agent can read, write, and decide.
Escalation Logic
Trigger conditions and routing for when agents must hand off to humans.
Prohibited Action Rules
Hard limits on what agents can never do: commit pricing, delete records, contact clients without approval.
Data Dependency Mapping
Visual map of which data sources each agent relies on, including latency and sync method.
Confidence Thresholds
Minimum confidence scores required before an agent acts autonomously versus escalates.
Guardrail Configuration Log
Documented record of every guardrail in place, version-controlled and auditable.
Activation Criteria
Go / no-go checklist that must be satisfied before any agent is switched on in production.
Exception Scenario Testing
Structured test suite for edge cases, failure modes, and boundary conditions.
Governance Health Reporting
Dashboards tracking agent behaviour, guardrail triggers, and data health over time.
Quarterly Governance Review
Scheduled review cadence to adjust governance as agents and business evolve.
External AI Platform Integration
Governance for any external AI platform interacting with your CRM via API. Same rules, same rigour.
Foundation first. Optimise as agents mature.
Not all 13 modules activate at once. Discovery determines what your business needs now versus what gets staged for later.
Before agents go live.
We assess readiness, define boundaries and configure guardrails. We test each agent against edge cases and failure modes, and it must pass a go/no-go checklist before it touches production data.
Foundation modules include Readiness Scorecard, Governance Framework, Boundary Definitions, Escalation Logic, Prohibited Actions, Exception Scenario Testing and Activation Criteria.
Once agents are live.
Once agents are running, their activity shows where the rules need work. We then set confidence thresholds, keep testing edge cases and failure modes, report on agent behaviour and review the rules each quarter.
The governance grows with the agents.
Whether you’re planning agents or already running them.
Exploring AI agents
Start here. The Readiness Scorecard tells you whether your data, processes and team are ready. Most businesses think they are. Discovery usually reveals otherwise.
Already using agents
We audit what’s running, identify the gaps and install the governance that should have been there from the start. Most businesses deployed agents faster than they built guardrails.
Outcome Engine clients
Governance is already part of your engagement. Every engine we build operates under this framework.
Clear lines. No ambiguity.
As a HubSpot Elite Solutions Partner, Kongo provides the governance framework, advisory services, configuration, and monitoring. We don’t develop, host, or operate the AI agents themselves.
We define the rules. You own the agents. We provide the guardrails and the ongoing advisory to keep them performing safely. If an agent misbehaves, the governance framework is what catches it. If governance needs updating, the quarterly review is where it happens.
This service covers AI agents operating within your CRM and external AI platforms interacting with your CRM via API. Kongo configures the governance layer between these platforms and your data. We don’t build or maintain the AI platforms themselves.
Built by GTM Engineers. One pod. Twelve months.
Translation captures the rules. Production builds them on a monthly sprint cadence. The named pod (Principal Solutions Architect, GTM Engineer and Customer Success Manager) runs your platform from kick-off to year end. One predictable fee. No change orders for in-scope work.