Handbook provides an AI Process Manager that embeds an intelligent “brain” into business workflows, automatically guiding execution and ensuring compliance without human supervision. By running inside existing processes, the platform reduces manual workload, boosts team performance, and keeps tasks on track. It integrates with common tools to make processes “alive,” delivering automated compliance and continuous process improvement.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations often rely on manual oversight to ensure business processes are followed, leading to missed steps, compliance gaps, and wasted employee time. Coordination across tools like Slack or Teams adds complexity, making it difficult to maintain consistent execution without dedicated supervision.
Solution
Handbook provides an AI-driven Process Manager that embeds an autonomous “brain” into existing workflows. The AI monitors each step, provides guided execution prompts, and enforces compliance without requiring human intervention. By integrating directly with communication platforms such as Slack and Microsoft Teams, the system allows teams to interact with the process manager in tools they already use. Automated actions reduce repetitive workload, keep processes aligned with organizational goals, and free employees to focus on higher‑value activities. The platform continuously updates process status in real time, ensuring visibility and accountability across the organization.
Target Audience
Primary customers are mid‑size to large enterprises and operational teams that manage repeatable business processes, such as HR, finance, and customer support, and seek to automate execution and compliance.
Features
- AI engine that runs inside defined workflows to trigger actions, send reminders, and verify task completion
- Guided execution prompts delivered in Slack and Microsoft Teams for seamless user interaction
- Automated compliance checks that enforce process rules and flag deviations without manual review
- Real‑time process monitoring dashboard showing status, bottlenecks, and performance metrics
- Integration connectors for common SaaS tools, enabling the AI manager to act across existing tech stacks
- Low‑code setup allowing teams to map existing processes into the AI manager without extensive re‑engineering