Service
AI Workflow Automation
Codility Solutions builds AI workflow automation from $5,000 so teams can qualify leads, triage support, and process documents with measurable ROI - without breaking audit trails or relying on fragile no-code stacks alone.
Book a free strategy callWhat you get
Workflow audit and design
We map your existing process, identify the highest-ROI automation targets, and design the AI workflow before writing code.
LLM orchestration
Multi-step agentic workflows that route, classify, extract, and act on information from your data sources.
RAG integration
Workflows grounded in your internal data - policies, contracts, past decisions - so the AI acts on accurate context.
Human-in-the-loop design
Escalation paths and approval workflows so humans stay in control of high-risk decisions.
Eval and regression testing
Automated tests on every workflow change. You know when a regression happens before it affects production.
Integration and monitoring
Connected to your existing tools (CRM, ERP, Slack, email). Dashboards showing workflow performance and ROI.
Who it is for
Operations and product teams at Series A+
Your team is spending significant hours on tasks that follow a pattern: classifying inbound requests, routing tickets, extracting data from documents, generating first-draft responses. You need to automate the pattern without losing control of the exceptions.
- Support triage and routing
- Document review and extraction
- Lead qualification and enrichment
Enterprise teams with compliance workflows
You have regulatory requirements, audit trails, and approval chains. You need AI automation that respects your compliance boundaries and documents every decision.
- Financial services compliance checks
- Healthcare prior authorization workflows
- Legal document review and classification
How it works
Workflow mapping and ROI analysis (Week 1-2)
We document your current process, measure the manual hours involved, and identify the highest-value automation targets. You approve before we build.
Prototype and eval (Week 2-5)
First working automation with a test harness. You see accuracy and throughput numbers before we go further.
Human-in-the-loop and edge cases (Week 5-8)
Escalation paths, approval workflows, and edge case handling. Tested against real production data.
Deploy, monitor, and handoff (Week 8-10)
Production deployment with dashboards showing automation rate, accuracy, and ROI. Your team trained to maintain and extend.
Related work
FAQ
Frequently asked questions
How much does AI workflow automation cost?
AI automation packages start from $5,000 as fixed-price projects. Cost depends on workflow complexity, systems to integrate, and whether human-in-the-loop review is required.
What workflows do you automate first?
Highest-ROI starting points are lead qualification and routing, support ticket triage, document extraction, and follow-up sequences that already have clear rules and success metrics.
Is this better than Zapier or Make?
No-code tools are great until you hit custom logic, data quality, evals, or compliance needs. We use automation platforms where they fit and custom LLM/agent systems where they do not.
How do you keep automations auditable?
We define KPIs up front, log decisions, add human review where risk is high, and design for finance and compliance teams that need an audit trail.
How long does an automation project take?
Typical packages land in a few weeks for a focused workflow, with integrations, testing, and handoff included in the fixed scope.
Ready to automate your first workflow?
Book a free 30-minute strategy call. We will map your highest-value automation targets, define ROI metrics, and give you a clear delivery plan. No obligation.