AI agents by industry and business process
19 process libraries and 178 named process steps, each stating its inputs, outputs, KPIs and where a person stays in the loop. Start from the one that matches your operation; tacitrun builds the agents from your own procedure.
Industries
- AI agents for Retail operations
6 processes · High-value retail-specific processes.
- AI agents for Consumer goods operations
6 processes · High-value CPG-specific processes.
- AI agents for Manufacturing operations
6 processes · High-value manufacturing-specific processes.
- AI agents for Insurance — personal lines operations
5 processes · High-value personal-lines insurance processes.
- AI agents for Insurance — commercial lines operations
5 processes · High-value commercial-lines insurance processes.
- AI agents for Hi-tech / SaaS operations
13 processes · High-value hi-tech / SaaS processes.
- AI agents for Private equity operations
30 processes · The PE deal lifecycle, end to end: origination, due diligence, execution & close, value creation, and exit.
- AI agents for Healthcare — payer operations
10 processes · High-value, high-volume payer operations processes.
- AI agents for Consumer lending & fintech operations
7 processes · High-volume, decision-heavy consumer lending + debt-resolution operations.
- AI agents for Staffing & light industrial operations
17 processes · High-value staffing / workforce-operations processes.
- AI agents for Engineering & construction operations
35 processes · Project-based engineering, procurement, construction and fabrication processes for industrial and energy contractors.
Back-office functions every company runs
- AI agents for Finance & Accounting
9 processes · Cross-industry finance processes every company runs.
- AI agents for Human Resources
4 processes · Cross-industry people processes.
- AI agents for IT & Security
4 processes · Cross-industry IT service + security processes.
- AI agents for Procurement
4 processes · Cross-industry sourcing + supplier processes.
- AI agents for Legal & Compliance
3 processes · Cross-industry legal intake + compliance processes.
End-to-end value chains
- AI agents for Procure-to-Pay
5 processes · The end-to-end source → buy → receive → pay value chain.
- AI agents for Order-to-Cash
5 processes · The end-to-end order → fulfill → invoice → collect value chain.
- AI agents for Hire-to-Retire
4 processes · The end-to-end workforce → hire → develop → exit value chain.
Why offload this process to tacitrun’s AI operating layer
tacitrun is built for exactly this handoff: a business team describes the process it already runs, and the platform turns it into governed domain agents that work across the systems you have, under your IT’s approval, with every write waiting for a person.
- Built from your procedure, not a vendor template
- Describe the process in plain English or hand over the SOP. tacitrun compiles it into a process graph and composes one domain agent per step, so the agents carry your rules, your exceptions and your vocabulary.
- Tested against the process before it can act
- Evaluation cases are derived from the graph itself, so a passing agent is one that does what your process says. Then it runs in shadow beside your team on real work before anyone lets it act.
- Every write stops for a person
- The approval gate sits on the actual call to Salesforce, Shopify, SendGrid, SAP or any connected system. A person accepts, modifies or rejects; the corrected version is what executes; the trace keeps the record.
- Runs across the systems you already have
- Built-in connectors, your own REST APIs or MCP servers, and on the Enterprise plan your own cloud project and your own models. The systems of record stay where they are; the layer does the work between them.
- IT approves, business leads
- Business users build and prove; IT connects the credentials, binds the fields and approves before anything goes live. Neither side inherits the other’s risk.