Governed specialists for transformation work
Tekplanit agents work over the business context, sources, and tools approved for the user and task. They can research evidence, shape a recommendation, coordinate specialist work, and use supported actions within role permissions and configured approval controls.
The observable agentic pattern
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Question or goal
- 02
Approved context and evidence
- 03
Cited recommendation
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Human review or approval
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Governed action
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Audit and outcome measurement
Capability depends on connected sources, enabled skills, user permissions, and administrator-configured controls.
What can Tekplanit AI agents do?
System-agnostic AI agents
Tekplanit agents can work across enabled ERP, CRM, HRIS, planning, ITSM, and data sources through a governed tool layer. The sources and actions available to an agent depend on your connections, role permissions, and configuration.
Governed actions, not just answers
Where a supported tool is connected and enabled, agents can run workflows, trigger actions, file approvals, or use allow-listed write-back operations. Action-specific confirmation and audit controls make the boundary visible.
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
Platform capabilities such as benchmarking, gap analysis, spend rollups, process monitoring, license analysis, and forecasting can be exposed as agent skills when the underlying feature is available and enabled.
Grounded in your enterprise knowledge graph
Agents can use an enterprise knowledge graph and approved source context for systems, contracts, processes, people, and spend. Where source evidence is available, recommendations can include citations for review.
Governed and approvable by design
Admin-managed guardrails control which agents can use which tools, which topics are allowed, and which actions require confirmation. AI usage and governed actions are recorded for review.
Agents you can watch and steer
Supported long-running work can move into visible background runs that users can monitor, steer, or cancel, subject to feature availability and configured permissions.
Build your own agents and flows
The Agent Factory lets authorized teams compose custom agents from available skills and connections and save reusable prompt flows. Scheduling and execution remain governed by the enabled runtime.
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 works 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 supported in the background can move to visible runs you can watch, steer, or cancel, with governed activity recorded for audit.
Frequently asked questions about Tekplanit AI agents
What are Tekplanit AI agents?
Tekplanit AI agents are governed specialists that work over approved business context. Depending on connected sources, enabled skills, role permissions, and action controls, they can research evidence, answer questions, recommend next steps, and use supported tools.
What does 'system-agnostic' mean for an AI agent?
It means an agent is not designed around only one application. Through the common governed tool layer, an agent can combine context from multiple connected systems when those sources are supported, authorized, and available to that user.
Can Tekplanit agents actually execute tasks in my systems?
Where supported tools are connected and enabled, agents can run workflows, trigger data syncs, propose actions, and use allow-listed write-back operations. Administrators control permissions and action-specific approval requirements; configured confirmation gates pause before execution.
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, such as benchmarking KPIs, detecting system gaps, analyzing spend, monitoring processes, identifying license candidates, or generating forecasts. Availability depends on the underlying platform feature, data, permissions, and configuration.
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?
Tekplanit includes specialist agents for platform capabilities. Authorized teams can also compose custom agents from available skills and connections in the Agent Factory and save multi-step prompt flows without writing application code.
How is this different from a chatbot or copilot?
A single-application copilot is usually limited to one product context. Tekplanit's governed agent layer can combine approved context and tools across connected systems, coordinate specialist work, and support background runs where those capabilities are enabled.