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Custom AI workflows
Custom AI workflows built around your operations.
Useful AI begins with a real job. Folium Systems builds workflows, agents, prompts, automations, and review queues around the repeated work your team handles every day, then defines where tools, people, and evidence enter the loop.
Workflow evidence
The fastest workflow proof starts with the artifacts people already use.
Forms, emails, reports, approvals, support notes, spreadsheets, policies, and screenshots show where AI should assist and where people still need judgment.
The job is mapped before model or agent selection.
Review points, owners, source rules, and blocked actions are designed into the proof.
Daily work becomes easier to inspect, repair, and improve.
What Folium Builds
Clear systems, reviewable proof, and a path your team can operate.
Workflow before model choice
We map the job, the source data, the tools, the owner, the review points, and the customer impact before choosing how AI should help.
- Workflow discovery
- Agent and prompt design
- Tool and API integrations
- Browser and operations proof
Agents with boundaries
The goal is not a loose chatbot. The goal is a scoped assistant that knows its task, its permissions, its fallback, and when to hand work back to a person.
- Human review gates
- Escalation rules
- Owner handoff notes
- Launch and staff enablement
Workflow build map
A custom AI workflow starts with the job, then adds the model.
Folium designs the task, owner, sources, review points, tool calls, logs, and launch gate before the assistant becomes part of daily work.
- 01 Task intake Name the repeated job, user, outcome, handoff, exception, and current pain.
- 02 Source map Identify documents, databases, tools, APIs, policies, screens, and human knowledge.
- 03 AI assist Design prompts, retrieval, agents, automations, and draft outputs around the workflow.
- 04 Human gate Define approvals, edits, refusals, escalations, and customer-impacting decisions.
- 05 Evidence loop Log outputs, failures, usage, reviewer feedback, and improvements for the next release.
Proof Point
The first workflow is scoped enough to prove.
Folium packages this as visible evidence so owners, staff, and reviewers can decide whether to refine, launch, pause, or expand.
Proof Point
The assistant has tools, boundaries, and review.
Folium packages this as visible evidence so owners, staff, and reviewers can decide whether to refine, launch, pause, or expand.
Proof Point
Staff understand what changes in daily work.
Folium packages this as visible evidence so owners, staff, and reviewers can decide whether to refine, launch, pause, or expand.
Start here
Bring the next AI step under control.
You do not need to know every model name, runtime option, or integration path. Tell us what is slow, risky, expensive, confusing, or disconnected. We will help translate it into a practical AI systems plan.