Turn conversations into action.

Highest planning depth — runs multi-step loops: plan, decide, act, check, retry, or escalate.

Orchestrate complex processes, recover from mid-task failures, and adapt when inputs change.

Incident response, content pipelines, procurement, product delivery, compliance packs, long projects.

When work needs 3+ dependent steps, branching logic, and auditability — not a single prompt.

Agentic AI is the capability layer: memory, tool choice, reflection, and guarded autonomy behind agents.

Policy-driven — humans set guardrails and review critical checkpoints; the system handles the grind.

SOPs, runbooks, and playbooks you want executed consistently at scale.

Handles messy real-world work: missing data, retries, and mid-flight brief changes.

Overkill for simple Q&A; needs monitoring so autonomy stays useful and safe.

The engine that makes TwinGP agents plan and finish — learn about Agentic AI.

Highest repeatability — once set, it runs the same smart path every time with AI decisions in the middle.

Trigger → understand messy input → route → update apps → notify people, without waiting on a human.

Lead intake, invoice processing, ticket deflection, onboarding, IT requests, finance admin loops.

When the process is frequent, measurable, and mostly known — but inputs are too messy for rigid rules alone.

Structured workflows with AI steps for classify, extract, summarize, and choose the next branch.

Exception-based — automation handles the volume; people only see low-confidence or high-risk cases.

Always-on operations that must hit SLAs and stay consistent across shifts and time zones.

Speed + scale: thousands of events processed with the same quality bar.

Less flexible for open-ended goals; redesign the flow when the process itself changes.

Integrations + 10K+ templates turn ideas into running flows — learn about AI Automation.