AI opportunity assessment
We identify where agents will pay off, which tasks need a human and what data is required, then prove value with a working prototype on your real data.
SW-03 Delegate
Agents that do real work, with a person where it counts.
Agentic AI workflows use AI agents that plan, call tools, read and write to your systems, and complete multi-step tasks end to end. StackWisp builds them for production: scoped permissions, accuracy measured against your real cases, full traces of every step, and human approval wherever the stakes call for one.
Agentic AI workflows · capabilities
What's included
Single-task and multi-agent systems
From one focused agent to orchestrated teams of specialised agents (researcher, drafter, reviewer) that hand work to each other.
Knowledge assistants (RAG)
Assistants grounded in your documents, wikis, tickets and databases that answer with citations and respect each user's access rights.
Tool and system connectors
Secure connectors, including Model Context Protocol (MCP) servers, that let agents work inside your CRM, ERP, helpdesk, data warehouse and internal APIs.
Voice and chat agents
Customer-facing agents on web chat, WhatsApp, email and phone that resolve requests, book appointments and hand off smoothly to staff.
Human-in-the-loop design
Approval queues, confidence thresholds, editable drafts and escalation paths so your team keeps control of consequential decisions.
Evaluation & guardrails
Test sets built from your real cases, automated accuracy scoring, prompt-injection defences, output validation and policy checks before release.
LLM operations
Tracing, cost and latency monitoring, model selection and routing, caching, and regression tests whenever prompts or models change.
How it works
The shape of a typical agent
- Trigger
Event arrives
New ticket, inbound email, uploaded file, CRM stage change or scheduled run.
- Context
Retrieve
Pulls policies, history and records from your knowledge base and systems.
- Reason
Plan
The model breaks the task into steps and decides which tools to use.
- Act
Use tools
Queries databases, updates records, drafts replies and calls APIs within scoped permissions.
- Control
Human review
High-impact actions pause for approval. Low-risk ones proceed automatically.
- Record
Log & learn
Every step is traced and scored, and feeds evaluation and improvement.
How we keep agents trustworthy
- Least-privilege access: agents can only touch what the task needs
- Full trace of every reasoning step and tool call
- Measured accuracy against an agreed benchmark before go-live
- Model-agnostic builds, so you can switch providers without a rewrite
- Spend limits and usage dashboards per workflow
- Data handling aligned with your privacy and retention policies
Go deeper
Related capabilities
Delegate
Knowledge assistants (RAG)
AI assistants grounded in your documents, wikis, tickets and databases that answer with citations and respect each user's access rights.
Read moreDelegateVoice & chat agents
Customer-facing agents on web chat, WhatsApp, email and phone that resolve requests, book appointments and hand off smoothly to staff.
Read more