AI agents
Software that uses AI to interpret requests, retrieve information, take approved actions and escalate when needed.
AI automation knowledge base
Practical guidance for planning automation responsibly.
Use this knowledge base to understand where AI fits, what to measure, how integrations work and where human oversight belongs.
Start with these topics
Clear definitions help teams compare options and scope the right first project.
Workflow automation
Rule-based movement of data and tasks between people and systems, often combined with AI for unstructured inputs.
System integration
Connections between CRMs, inboxes, calendars, databases and other tools using APIs, webhooks or approved middleware.
Human-in-the-loop controls
Review, approval and escalation steps that keep people responsible for sensitive or uncertain decisions.
Automation ROI
A comparison of implementation and operating cost with measurable changes in time, errors, throughput or revenue.
AI readiness
The quality of the process, data, permissions and ownership required before reliable automation can be deployed.
A simple automation-readiness checklist
A strong candidate process is frequent, measurable and understood well enough to describe its exceptions.
Choose one process
Identify a repeated workflow with a clear owner and business cost.
Document the current state
List inputs, steps, decisions, systems, exceptions and failure consequences.
Define the outcome
Choose a small set of metrics that indicate whether the workflow improved.
Set control boundaries
Decide which actions can run automatically and which require human review.
Frequently asked questions
What is business process automation?
Business process automation uses software to complete repeatable steps, move information and coordinate work with less manual handling.
What is the difference between AI and workflow automation?
Workflow automation follows defined rules. AI can interpret less structured inputs such as natural language or documents. Reliable systems often combine both.
What should a company automate first?
Usually a frequent, stable and measurable process with a clear owner, enough volume to matter and manageable consequences when an exception occurs.
Does every automation need generative AI?
No. Many processes are better served by deterministic rules and integrations. AI is useful when the workflow must interpret language, documents or other unstructured inputs.
Ready to map the workflow?
Start with one repeated process. We’ll identify what can be automated, what should remain human and what a sensible first phase looks like.
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