AI Agent Workflows
We design and deploy composable AI agents that operate on your contextualized data, chained into workflows with human checkpoints exactly where the stakes call for one.
Automation grounded in your data, not a blank prompt
Most "AI automation" projects stall at the demo because a chat prompt is not a workflow: it has no trigger, no source of truth, and no idea when to stop and ask a person. We design workflows the way an operations team would, a trigger, a data pull, an agent step scoped to what it was actually given, a decision point, and an action, then deploy them against your systems of record instead of a blank context window.
This engagement maps a process you already run today, designs the workflow around your data and your risk tolerance, and deploys it with the guardrails that make automation something your team can trust: confidence thresholds, human checkpoints on the calls that matter, and a full log of what happened and why.
We can build this on the Solutions Plus AI Agent Workflows platform, or integrate agent steps into automation you already run. Either way, the workflow is yours to own, extend, and audit.
Four phases, from process to production
Map the process
Document the trigger, the data it depends on, the decision points, and where a human currently gets involved.
Design the workflow
Compose the trigger, data source, agent step, and action, with confidence thresholds set to your risk tolerance.
Deploy with guardrails
Ship the workflow with human checkpoints on the calls that matter and a full audit log from day one.
Operate & improve
Review the trail, tune thresholds, and expand the workflow as you learn what it actually gets right.
A workflow you can own and audit
Process map & workflow design
A documented trigger, data dependencies, decision points, and the workflow designed around them.
Configured triggers & agent steps
Live triggers, data sources, agent reasoning steps, and actions, configured against your real systems.
Human-in-the-loop checkpoints
Low-confidence or high-stakes outcomes route to a person automatically, by design, not by accident.
Audit trail & monitoring
Every trigger, pull, decision, and action is logged, so any outcome can be explained after the fact.
Runbook & handoff
Documentation your own team can use to operate, tune, and extend the workflow without us in the loop.
Tuning & iteration
A first review cycle to tune confidence thresholds and checkpoints against how the workflow performs in production.
Powered by our AI Agent Workflows platform. This service designs and stands up your first workflows, on our platform or integrated into automation you already run.
See the platformAutomation with a human still in charge
Grounded in your data
Agents read from your systems of record before they reason. No workflow starts from a blank prompt.
Human checkpoints by default
We design in the approval step first and remove it only where the data earns the trust.
Built on a platform you own
Workflows are yours to extend, audit, and operate after we hand them off.
Measured against outcomes
We tune to what the workflow actually gets right in production, not what a demo suggested it would.
Questions we hear early
Is this the same as the AI Agent Workflows product?
The product is the platform. This service is us mapping your process and standing up your first workflows on it, or wiring agent steps into automation you already run.
What if we do not trust an agent making the call alone?
Then it will not, by design. Every workflow ships with confidence thresholds and human checkpoints on the decisions that carry risk.
How long does a first workflow take?
Most first workflows, from process mapping to production, run a few weeks. Complexity and system access are the usual variables.
Automate a process you already trust
Tell us about a workflow that is still manual today. We will map it, design the guardrails, and tell you honestly what it would take to automate.
Talk to us