GTAF

Generative Task Automation Framework

Build Your First AI Agent in Days, Not Months.

GTAF gives enterprise teams a reusable foundation for agentic AI workflows, integrations, governance, observability, and human-in-the-loop execution.

Plan a GTAF Agent See the architecture
GTAF animated agent workflow demo
Daysto first agent in action
40+common enterprise integration patterns
Built ingovernance, HITL, audit, and observability

Agentic AI accelerator

A production layer for enterprise AI workflows.

GTAF helps teams move beyond demos by giving every agent a consistent way to understand intent, plan work, call tools, apply controls, and return accountable outcomes.

01

Supervisor-worker agents

Coordinate specialized agents with clear task ownership, escalation paths, and reusable skills.

02

Tool and system access

Connect agents to SaaS, cloud, observability, documents, databases, and internal APIs through governed adapters.

03

Enterprise controls

Add permissions, approvals, prompt management, audit trails, evaluation, cost tracking, and human oversight.

Reference architecture

Connect. Automate. Orchestrate. Govern.

The GTAF architecture brings user channels, agent orchestration, plugins, tools, memory, connectors, guardrails, and measurement into one delivery foundation.

GTAF architecture diagram showing agents, tools, governance, integrations, and observability

Out-of-the-box integration patterns

Agents that work where your enterprise already works.

GTAF is designed to connect collaboration, ITSM, CRM, cloud, content, databases, observability, and incident operations.

Microsoft Teams logoTeams Slack logoSlack Jira logoJira ServiceNow logoServiceNow Salesforce logoSalesforce HubSpot logoHubSpot AWS logoAWS Microsoft Azure logoAzure Oracle Cloud Infrastructure logoOCI Google Cloud logoGCP Google Workspace logoGoogle Workspace Google Drive logoGoogle Drive OneDrive logoOneDrive SharePoint logoSharePoint Confluence logoConfluence Oracle logoOracle MySQL logoMySQL PostgreSQL logoPostgreSQL Datadog logoDatadog LogicMonitor logoLogicMonitor Grafana logoGrafana Prometheus logoPrometheus PagerDuty logoPagerDuty SolarWinds logoSolarWinds Nagios logoNagios N-central logoN-central GitHub logoGitHub GitLab logoGitLab Bitbucket logoBitbucket Zendesk logoZendesk Okta logoOkta Snowflake logoSnowflake MongoDB logoMongoDB Redis logoRedis Elasticsearch logoElasticsearch Kubernetes logoKubernetes Docker logoDocker Box logoBox Dropbox logoDropbox Zoom logoZoom Gmail logoGmail SAP logoSAP Workday logoWorkday

Use cases built on GTAF

Start with one useful agent. Expand from there.

AI Scrum Master workflow planning and ticket coordination
Delivery teams

AI Scrum Master

Summarize standups, identify blockers, update Jira, prepare sprint notes, and keep delivery workflows moving.

Explore agile delivery
AI customer bot for self-service customer support
Customer support

AI Customer Bot

Resolve routine questions, search knowledge sources, trigger workflows, and escalate with context when needed.

Explore customer support AI
Agent Assist interface for customer support teams
Support operations

AI Agent Assist

Give agents live context, suggested responses, workflow actions, and follow-up summaries inside their support console.

Read the case study

Why GTAF

Built for teams that need AI to work in production.

Fast first agent

Start with one scoped workflow and reusable adapters so a first agent can reach users in days.

Governed execution

Permissions, approvals, audit trails, and human oversight are part of the execution model.

Observable outcomes

Track task completion, exceptions, latency, cost, feedback, and workflow quality from the start.

Enterprise extensibility

Add connectors, tools, skills, prompts, memory patterns, and team-specific policies as adoption grows.

GTAF accelerator

Turn one high-value workflow into your first production AI agent.

Plan a GTAF Agent
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