Add agents to your strategy without over-solving
Backed by the integration standards you expect, ship agents you can trust for mission-critical workflows.
Go beyond automation
With agents, you can scale, improve, and accelerate more workflows than ever. With reasoning and ability to use tools, agents take on work that's impractical to hard-code.
Modernize critical systems not built for AI.
Put agents in front of legacy systems to interpret, enrich, and route data.
Be AI-ready: accessible, actionable, and trustorthy.
The companies that get the most from AI are the ones whose systems are ready for agents to work.
Compound your AI investment.
Build a tool once and expose it to any agent that needs it. Reuse instead of starting from zero.
Get ahead of agent sprawl.
Govern all agents — Digibee-built or third-party — through a single control plane to manage sprawl risk.
Switch approaches,
not platforms
Build agents and traditional workflows in one platform so the right solution is always available, and over-engineering is never the default.
Agents shine when:
Inputs are unstructured or unpredictable run to run
The right path depends on context, judgment, or evolving information
The process involves decisions that can't be fully hard-coded
You need to put expertise to work that currently lives in someone's head
Traditional workflows are best when:
The process is well-defined, predictable, and easy to express in logic
The rules and outcomes must be deterministic, every time
Compliance requires a fully predictable, auditable trail
When cost per execution needs to be fixed and fully predictable
Go from building to trusting, fast
Build, evaluate, and optimize in a tight iteration loop, with embedded best practices at every step.
One interface, any LLM
LLM flexibility without the overhead of learning how each one works. Switch models freely, avoid lock-in, and keep pace as the landscape evolves.
Turn any workflow into an agent tool
Equip agents to work with governed, well described MCP tools that act across systems and applications.
Guide agents to succeed
Bundle complexity into playbooks so agents have fewer steps to perform — which also improves accuracy and lowers tokens.
Ensure agents play nice
Define structured outputs that meet downstream systems on their terms: fixed schemas, exact formats, and sequencing.
Evaluate as you build — and after you ship
Run offline and online evals to prove production readiness. Post-launch, catch regressions and iterate in a tight feedback loop.
A/B test prompts and models
Take gut instinct out of optimization. Experiment with prompts and prove which models offer an edge for the use case at hand.
Guardrails and safety, solved
safety, solved
Manage agent risk with built-in controls
Prevent leakage
Scrub PII before it reaches any model. What the agent can't see, it can't leak.
Full data sovereignty
Bring your own API keys and model endpoints. Your data stays within your infrastructure, always.
Define safe inputs
Define acceptable inputs and flag harmful outputs to protect agents from going outside of their scope.
AI attack vector security
Defend against prompt injection, tool poisoning, and context manipulation at runtime.
Govern agents
(and who can build them)
Governance comes standard.
Agents built in Digibee inherit the access controls, policies, and compliance guardrails already in place for your integrations — no separate configuration required.
Control model availability and define role-based access
Get full logging and traceability for every agent action
Track token usage and cost with full visibility
Enterprise security, scale, and service.
Digibee is built to meet the most demanding requirements for scale, security, and service excellence.
Security
Digibee is SOC-II certified and adheres to the Zero Trust framework, continuously validating access requests. 24/7 monitoring, infrastructure isolation, and other rigorous measures.
Trust centerScale and resilience
Digibee’s ephemeral architecture isolates executions to maximize uptime. It also powers elasticity—instantly surging to handle spikes and scaling to zero during lulls.
Platform infrastructureSupport and services
Digibee’s top-rated team of experts is ready to help with implementation, maintenance, and troubleshooting—on-top of robust self-service features. Invest in success, not just software.
Digibee expertiseConnected to the applications that run your business
Categories are converging. Here’s how Digibee compares to the solutions you’ve used in the past.
Frequently Asked
Questions
About Digibee for Agent Building
What makes Digibee's agent building different from standalone AI agent platforms?
Digibee combines agent building with enterprise integration infrastructure. Your agents inherit the same security, governance, and connectivity already in place for your integrations — no separate stack to manage.
Can agents use existing integrations as tools?
Yes. Any workflow or integration built in Digibee can be exposed as a governed MCP tool for agents to use. This means agents can act across your entire system landscape from day one.
How do you prevent agents from leaking sensitive data?
Digibee scrubs PII before data reaches any model, enforced at the pipeline level. You can also bring your own API keys and model endpoints so data never leaves your infrastructure.
How do I know if my agent is performing well in production?
Digibee provides built-in offline and online evaluations, full agent traceability for every run, and continuous monitoring that alerts you if accuracy degrades — with root cause analysis for model, data, or prompt issues.
Can I switch between LLM providers without rebuilding?
Yes. Digibee provides a single interface for any LLM. Switch models freely, avoid lock-in, and keep pace as the AI landscape evolves — without rewriting your agent logic.