Across channels and modalities
Email, chat, forms, and documents can feed the same governed agent workflow.
Enterprise AI Agents
Build AI agents that can actually work across your enterprise.
Purchase orders, invoices, work orders, shipments, account enrichment, and service requests span different systems and teams. Konnectify gives each agent a defined goal, governed access to your business applications and data, explicit operating rules, and the right level of autonomy — so it can investigate, prepare, coordinate, and complete real work without a custom integration project for every use case.
700+ integrations · Autopilot, Chat/Ask and human-in-the-loop modes · SOC 2 Type II · GDPR ready
ManufacturingPurchase orders, work orders
Finance & AdminApprovals, policy checks
OperationsShipment & cross-system tracking
ServiceTicket & request resolution
Manufacturing agent · Autopilot
One agent, as an example — Manufacturing
ReadyAgent goal
Read an incoming purchase order, validate it against inventory and pricing, and route it for approval or fulfillment.
Business contextConnected
ERP + inventory data
Approved order and stock context
Operating rulesScoped
Pricing + approval thresholds
Agent follows configured decision boundaries
Agent modeAutopilot
Event-driven execution
Begins from configured workflow events
OversightEnabled
Event visibility
Status, actions, and errors stay traceable
Approved tools4 available
ERP
Inventory
Approvals
Slack / Email
Execution outcome
Order validated → pricing checked → routed for fulfillment
The exact actions available depend on the agent configuration, connected applications, permissions, and plan.
700+ integrations
Connect agents to the business systems your teams already use.
SOC 2 Type II
Built for enterprise security and governance requirements.
No training on customer data
Published Konnectify product policy.
Traceable execution
Review workflow statuses, processed data, actions, and errors through Event Logs.
Enterprise systems
Built to connect with the enterprise systems you already run
Use approved connectors and workflow actions across the applications in your operating stack — 700+ integrations and counting.
Salesforce
Sync accounts, opportunities, and cases into governed agent workflows.
ServiceNow
Drive incidents, requests, and change tasks from a single agent.
SAP Concur
Read expenses and invoices for policy checks and approval routing.
Microsoft Dynamics 365
Connect sales, finance, and operations records to agent decisions.
Zendesk
Triage tickets and prepare replies with connected context.
Slack
Route updates, alerts, and human-in-the-loop review checkpoints.
Transform the way you work
One platform, three ways enterprise teams put it to work
Automate work
Automate and improve work
Agents handle purchase orders, invoices, and requests from intake to resolution across the systems where the work already lives.
Serve customers
Serve and grow customers
Agents engage across email, chat, and connected service tools, resolving requests faster while keeping teams focused on the exceptions.
Assist employees
Make employees more productive
Agents work beside your people, using connected business data to answer questions, support decisions, and complete recurring tasks.
Built for real enterprise work
Enterprise work spans channels, runs long, and lives inside your systems
Agents built to match that reality, with the integration and workflow layer underneath them.
Handles real complexity
Agents can work through multi-step processes with configured goals, rules, and decisions.
Fully integrated
Connected systems let agents read data, trigger actions, and update records directly.
Grounded in your data
Agents use approved applications and business context instead of generic guesses.
Why enterprise agents
A prompt can generate an answer. An enterprise agent needs a way to do the work.
Enterprise work lives across ERPs, finance platforms, support systems, CRMs, internal applications, data stores, and operational tools. The useful agent works toward a configured goal using approved applications, supported business data, workflow logic, permissions, and operating rules.
Konnectify combines AI agents with the integration and workflow layer underneath them, so teams can move from isolated AI assistance to controlled, cross-system execution.
01
Answer
Generate, summarise, classify, extract, or prepare information for a user.
02
Research
Gather approved context from connected applications and supported information sources.
03
Decide
Use configured goals, workflow logic, and operating rules to determine a supported next step.
04
Act
Use approved application actions and workflows when the agent has the required permissions.
05
Escalate
Pause for review or hand sensitive and judgement-based work to a human when required.
Enterprise agent architecture
Give agents everything they need, and nothing they do not.
Enterprise readiness is less about a bigger model and more about the surrounding control plane: clear goals, connected business context, scoped tools, deterministic workflows, oversight, and the right operating mode.
01
Goal and instructions
Define what the agent is responsible for, the outcome it works toward, and the operating rules it must follow.
02
Connected business data
Use supported context from the applications and information sources already running across your organization.
03
Approved tools and actions
Give the agent access only to the application actions, APIs, and workflow capabilities its job requires.
04
Workflow logic
Combine AI reasoning with triggers, filters, paths, repeaters, code, and delays where deterministic control matters.
05
Permissions and human review
Use the selected mode and implementation controls to keep sensitive work behind the right review boundary.
06
Execution visibility
Review statuses, processed data, actions, and errors through Event Logs so teams can investigate how workflows ran.
Choose the right autonomy
Not every enterprise agent should run the same way
Use the operating mode that matches the job. Repeatable work can run in the background, interactive work can stay on demand, and sensitive work can pause for a human.
Background
Autopilot
Runs from configured events and works in the background for repeatable work with well-defined rules.
Best for: Event-driven enrichment, routing, monitoring, and repeatable operational work.
Interactive
Chat or Ask
A user asks the agent to research, retrieve, prepare, or complete a supported task on demand.
Best for: Research, analysis, retrieval, preparation, and interactive employee workflows.
Controlled
Human-in-the-loop
The agent prepares the work and pauses for review or approval before it crosses a sensitive boundary.
Best for: Judgement-based, sensitive, or high-impact enterprise actions.
Agents across the organization
Start with one high-value job. Expand on the same connectivity layer.
Build agents around the work your business already does instead of forcing every department into one generic bot.
Order and fulfillment agents
Bring together purchase orders, inventory, pricing, approvals, and shipment updates.
- Purchase order validation
- Work order coordination
- Shipment tracking
- Inventory and pricing checks
Cross-system operations agents
Coordinate repeatable work that spans multiple operational applications and teams.
- Data validation
- Exception routing
- Cross-system updates
- Event-driven coordination
Request-to-action agents
Read a request, gather context, choose the next step, and prepare or complete the handoff.
- Access requests
- Live-data lookup
- Issue coordination
- Ticket enrichment
Controlled process agents
Apply structured workflow logic to recurring finance and administrative processes.
- Request intake
- Data preparation
- Policy-based routing
- Human-reviewed actions
Built on your existing stack
The agent layer should connect your systems, not replace them.
Konnectify combines AI agents with application connections and workflow automation so enterprises can place an agent across the tools they already depend on.
Finance / ERP
Purchase orders & operational data
Support
Tickets & service workflows
CRM
Sales & customer context
Internal apps
Custom systems & APIs
↓ connected applications + approved business data ↓
Konnectify Enterprise Agent Layer
Goal · Context · AI reasoning · Workflow logic · Approved tools · Human review · Event visibility
↓ supported actions + workflow outcomes ↓
Enrich
Complete missing business context
Route
Send work to the right workflow or team
Update
Perform approved application actions
Prepare
Research, summarise, and structure work
Enterprise governance
Autonomy should be configured, not assumed.
An enterprise agent's capabilities depend on connected applications, connection permissions, approved tools, operating rules, and the mode in which it runs.
Approved applications and connections
Agent access begins with the applications and credentials connected to the workspace.
Supported actions
Expose only the tools and workflow actions required for the agent's job.
Human review for sensitive work
Pause for review or approval when a process needs human oversight.
Event Logs
Inspect execution status, time, processed data, actions, and errors.
Organization-level administration
Workspace settings, team roles, application connections, usage, and security settings stay administratively managed.
From idea to production
Deploy the first agent around a real business outcome.
Start narrow, make the control boundaries explicit, and expand once the workflow is producing a useful, observable result.
01
Choose the job
Define one measurable enterprise outcome and the team that owns it.
02
Connect the systems
Authorize the applications and information sources needed for that job.
03
Configure the agent
Set its goal, rules, supported tools, workflow logic, and operating mode.
04
Test the boundaries
Review field mappings, permissions, actions, branches, and human review points.
05
Deploy and observe
Activate the workflow and use Event Logs to inspect outcomes and failures.
Enterprise-ready from day one
Your data, your rules. We never train on your data.
Built on a platform that scales
What's underneath every agent you build
No-code Agent Builder
MCP-governed access
700+ integrations
Your choice of model
Event Logs
SOC 2 Type II and GDPR-aligned
Enterprise AI agents FAQ
Questions enterprise teams ask before deploying agents
If you need current security evidence, visit the trust center or talk to sales.
Enterprise readiness
Enterprise agent workshop
Bring us one workflow. Leave with an enterprise agent architecture.
Map the business goal, systems, data, approved actions, autonomy level, human review points, and first measurable outcome.