AI agents · Skills · Multi-agent orchestration

AI agents that work across every enterprise system

Tekplanit runs system-agnostic AI agents on top of your enterprise systems — ERP, CRM, HRIS, planning platforms, ITSM, and 150+ more. Agents pull data, answer questions grounded in your live enterprise knowledge graph, and execute governed tasks with admin-set approval gates — and a multi-agent orchestrator coordinates specialist agents on complex goals like a real team.

What can Tekplanit AI agents do?

System-agnostic AI agents

Tekplanit agents sit on top of your enterprise systems — ERP, CRM, HRIS, planning platforms, ITSM, data warehouses, and 150+ others — and work across all of them through one connector layer. The same agent can pull data from SAP, check a contract in NetSuite, and update a plan in Anaplan.

Agents that execute tasks, not just answer

Agents don't stop at analysis. They run workflows, trigger system actions, kick off syncs, file approvals, and write back to source systems — with admin-configured human-approval gates on sensitive actions and a full audit trail.

Multi-agent orchestration

A built-in orchestrator routes each request to the right specialist agent — finance, licensing, process, systems, planning — and coordinates multiple agents on one goal, passing results between them like a real team.

Agent skills for the entire platform

Every platform capability is packaged as a skill an agent can use: benchmarking, gap analysis, spend rollups, process monitoring, license reclaim, forecasting, and more. New skills light up in chat the moment the underlying feature ships.

Grounded in your enterprise knowledge graph

Agents reason over a live knowledge graph of your systems, contracts, processes, people, and spend — so answers cite your data, not generic model knowledge.

Governed and approvable by design

Admin-managed guardrails control which agents can use which tools, sensitive actions require human confirmation, AI usage is metered and logged, and blocked topics are enforced per role.

Agents you can watch and steer

Long-running agent work happens in visible background runs you can monitor, steer, or cancel — including browser-based agents that operate web applications on your behalf.

Build your own agents and flows

The Agent Factory lets teams compose custom agents from skills and connections, save reusable prompt flows, and schedule them — no code required.

How do system-agnostic agents work?

Most enterprise AI is trapped inside one application — a copilot in your CRM, a bot in your service desk. Tekplanit takes the opposite approach: agents live on a platform layer above your systems, connected to all of them at once through governed connectors and a shared knowledge graph.

When you ask a question or set a goal, an orchestrator routes it to the right specialist agent. That agent picks the skills it needs — pull license usage from your identity provider, check contract terms, benchmark against your industry, propose an action — and executes step by step. Administrators set the guardrails: actions that change a system of record can be required to pause for human approval before they run. Long-running work moves to background runs you can watch, steer, or cancel, and every step is logged for audit.

Frequently asked questions about Tekplanit AI agents

What are Tekplanit AI agents?

Tekplanit AI agents are system-agnostic software agents that sit on top of your enterprise systems — ERP, CRM, HRIS, planning, ITSM, and 150+ others — to pull data, answer questions, run workflows, and execute tasks. Each agent has a set of skills, is grounded in a live knowledge graph of your enterprise, and operates under admin-managed guardrails, including human-approval gates for sensitive actions.

What does 'system-agnostic' mean for an AI agent?

It means the agent is not tied to one vendor's system. Tekplanit agents work through a common connector layer across 150+ enterprise systems, so one agent can combine data from SAP, Salesforce, Workday, Anaplan, ServiceNow, and your data warehouse in a single task — no per-system agent silos.

Can Tekplanit agents actually execute tasks in my systems?

Yes. Agents can run workflows, trigger data syncs, propose and execute system actions, and write back to source systems. Write actions are governed through allow-listed operations, configurable human-approval gates for sensitive changes, and audit logging — administrators decide which actions require approval before they run.

How does multi-agent orchestration work in Tekplanit?

A routing layer reads each request and dispatches it to the best specialist agent — finance, licensing, systems, process, planning, and others. For complex goals, multiple agents run in coordinated steps, passing results forward, with background runs you can watch, steer, or cancel.

What are agent skills?

Skills are packaged capabilities an agent can invoke — benchmarking your KPIs against industry peers, detecting gaps in your system landscape, analyzing spend, monitoring processes, reclaiming unused licenses, generating forecasts, and dozens more. Skills map to platform features, so the agent catalog grows with the product.

How are Tekplanit agents kept safe and governed?

Administrators control agent access with role-based tool permissions, blocked topics, per-action approval requirements, and AI usage metering. Approval requirements are set by your administrators — sensitive operations can be configured to require explicit human confirmation — and agent actions are logged for audit.

Do I need to build or train the agents myself?

No. Tekplanit ships a full catalog of ready-to-use specialist agents. Teams that want more can compose custom agents from existing skills and connections in the Agent Factory, save multi-step prompt flows, and schedule them — without writing code.

How is this different from a chatbot or copilot?

A copilot answers questions inside one application. Tekplanit agents work across your entire system landscape, take governed actions in those systems, coordinate as a team on multi-step goals, and run in the background on schedules — it's an agentic operations layer for the enterprise, not a chat window.