AI PLATFORM | MAGNUS BY SIMPPLR

The enterprise AI platform to build, run, and govern AI agents at scale.

Magnus, Simpplr’s enterprise AI platform, brings together everything organizations need to turn AI agents into a reliable, scalable part of how work gets done.

Agent Builder

Design, test, and ship agents, from a plain-language idea all the way to production.

Agent Context

Ground every agent in your knowledge, people, policies, and systems, with memory that improves with use.

Agent Runtime

Run agents reliably across your systems, with durable execution, the right tools, and the approvals each task needs.

Control Plane

Govern every agent, model, connector, and credit from one place, with proof of what works.
Platform

Inside the Magnus platform

Everything enterprises need to build and run agents at scale – grounded in your knowledge, governed by your policies, and engineered for reliability.
01 — Build

Natural-language agent builder

Create reasoning agents and structured workflows in plain language, with reusable skills and SOPs.

02 — Build

Tools, actions, and MCP

Agents answer – and act – through approved connectors, APIs, and MCP, within configured access and action boundaries.

03 — Run

Multi-agent orchestration

Specialist agents, from Magnus or other platforms, hand off work so every request reaches the best one.

04 — Run

Agentic RAG and Knowledge Graph

Ground every task in indexed knowledge and the way your people, policies, and systems connect.

05 — Run

Memory and continuous learning

Retain relevant context across sessions and improve agent behavior through feedback and review.

06 — Govern

Human-in-the-loop

Built-in approvals, escalations, and handovers keep people in control of what matters.

07 — Govern

Guardrails and governance

Prompt-injection protection, PII redaction, policy enforcement, and audit trails, on by default, with a kill switch for every agent.

08 — Govern

Cost optimization

Model routing, pooled credits, and usage limits match each task to the right model and keep spend predictable.

Also built in
  • Model-agnostic
  • Permission-aware execution
  • Durable execution
  • Observability and evals
  • Omnichannel
  • Delegated workspaces and publishing approvals
  • Test and production separation
  • Reusable skills and SOPs
  • ROI reporting
WHY SIMPPLR + MAGNUS

Built to take enterprise AI further

Together, Simpplr and Magnus expand what the business can do with AI.

One front door to your agent ecosystem

Make AI accessible to every employee through your intranet, with specialized agents and supported third-party agents working together behind the scenes.

Expert-guided AI that improves with the work

Keep functional experts involved in how agents evolve, with intuitive ways to review behavior, provide feedback, and refine how agents work as business needs change.

Cost optimization at enterprise scale

Combine intelligent model routing, granular usage insights, pooled credits, and configurable controls to balance AI performance and cost as adoption grows.
AGENT BUILDER

Build agents around the work

Create agents around the outcomes your teams need, with the flexibility to shape, extend, and refine them as the work evolves.

Go from idea to agent with natural language

Let the people closest to the work describe what they need, and AI drafts the agent, workflow, and skills to refine.

Choose how much autonomy the work requires

Build reasoning agents that plan their own steps based on defined goals and instructions, or structured workflows with set branches, approvals, and handoffs.

Ground agents in how your business operates

Define their behavior with reusable skills and SOPs, and give them the approved tools, systems, and enterprise knowledge their work depends on.

Test, refine, and deploy with confidence

Validate behavior in a playground, manage versions, and publish agents to approved channels, with evaluations at every stage.
AGENT CONTEXT

Give every agent a shared understanding

Magnus grounds every agent in what your organization knows: indexed knowledge, how people, policies, and systems connect, and memory that improves with use.

Ground answers and actions in your knowledge

Retrieve from the Knowledge Index at the moment of the task, so agents act on current, cited information.

Understand how your organization connects

Reason over people, roles, policies, and systems in the Knowledge Graph, so agents know who approves what and which policy applies.

Remember what matters and improve over time

Session, user, and organizational memory carry forward, and every review and correction makes agents more accurate.

Keep context current and permission-aware

Sync continuously from connected sources and retrieve only what the requesting person may see.
AGENT RUNTIME

Keep AI work moving

Magnus runs agent work across approved models, tools, and connected systems, and keeps it moving through interruptions, approvals, and handoffs.

Orchestrate across agents, models, and tools

Route each request to the right agents and models, including third-party agents, and manage delegations and handoffs as work progresses.

Run every step with the right context attached

Pull what each task needs from Agent Context, carry it forward through every handoff, and write back what was learned.

Act within the right permissions

Execute tasks through connected systems and tools using identity-aware access, so agents operate within the permissions of the people they serve.

Keep complex work running, with people in control

Support long-running, multi-step workflows that pause for approvals and recover through retries without losing progress.
CONTROL PLANE

Keep AI accountable as it scales

Give IT visibility and authority over access, policy, performance, and consumption, while teams build and manage agents independently.

Control who can build, deploy, and use AI

Manage identity, roles, and permissions, and approve the models, connectors, tools, and skills different teams and workspaces can use.

Set safeguards for agent interactions

Apply prompt-injection protection, PII redaction, content moderation, and connector-level action boundaries to keep every agent within policy.

See what’s happening, and intervene when needed

Review evaluations, adoption, and outcomes alongside execution details and audit records, and stop or disable any agent at any time.

Keep AI spending predictable as adoption grows

Track consumption across agents, users, and models, with pooled credits, configurable usage limits, and anomaly alerts to manage costs at scale.
EX AGENTS

Start with AI already built for employee work.

Simpplr EX Agents give you a head start with prebuilt agents for common employee experience needs, all powered by Magnus. Customize these agents to fit your business, or build your own to address needs unique to your organization.
Explore EX Agents

Vox

Internal Comms

Atlas

Intranet Manager

Sage

HR Generalist

Forge

IT Support

Sterling

Finance Ops

Banyan

Workplace Coord.

Plugs into everything, with every connection governed.

700+ applications with read and write access, scoped by workspace and bounded by data-egress limits and permissions.
Learn more
ms power bi logo
Okta logo on Simpplr website
Simpplr employee intranet software integrates with Dropbox
Simpplr employee intranet software integrates with Google Drive
Workday Logo Integration of Simpplr
UKG Logo Integration of Simpplr
Slack Logo Integration of Simpplr
MS Teams Logo Integration of Simpplr
Google Analytics Logo Integration of Simpplr

Built for the enterprise

Security, compliance, and control are built into the platform, independently certified and continuously verified. Your data stays protected, governed, and yours.

Security certifications

SOC 2 Type 2 and ISO 27001 certified, with annual penetration testing.

Regulatory compliance

GDPR, CCPA, and HIPAA compliant.

Data protection

Your data is never used for model training. It is encrypted, with full residency control.

Identity and access

SAML SSO with SCIM provisioning, and permissions inherited from your source systems.

Enterprise infrastructure

Cloud-native infrastructure with autoscaling and single-tenant deployment options.

Reliable execution

Every workflow ends in a defined state: completed, escalated, or explained.
Learn more

From kickoff to live in six weeks.

Expert guidance or end-to-end managed deployment: we partner the way that works for you.
[01]

Plan

Prioritize your highest-value use cases, define the business case and success criteria for each, and build your agentic workflow roadmap.
[02]

Align

Specify each workflow and its actions, validate requirements with business stakeholders, and lock the implementation plan and KPIs.
[03]

Build

Develop the data model, configure and test each workflow end to end, and prepare integrations and the adoption plan.
[04]

Operate

Deploy to production, monitor workflows against defined KPIs, and iterate on real usage.