Agentic workflows
Most automation breaks when the input doesn't match the expected pattern. Agentic workflows add a reasoning layer — the model evaluates context, decides, acts, escalates when it should. We design the process, deploy the agent, supervise the rollout until it's earned the right to run unattended.
OK, got it. I'm going to hand you off to one of our support specialists.
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The most common failure mode is treating this as a software project. We map what handling the process well actually requires — information retrieved, decisions made, edge cases, human-in-the-loop checkpoints — before anyone touches a model.
Every workflow specifies what's in-scope (proceeds autonomously), what's out-of-scope (escalates), and what counts as an escalation signal even for in-scope cases. No silent failures.
Four to six weeks where every agent decision is reviewed alongside the actual outcome. We refine the decision logic before the workflow runs at scale without oversight. Skipping this step is how you ship a workflow that makes bad decisions for weeks before anyone notices.
CRM, calendar, accounting, document management, communication tools — the agent retrieves what it needs and acts across the systems the task requires. Adapts to what it finds rather than following a fixed integration sequence.
Success is measured by exception rate, decision accuracy, processing time, and human time freed — not by how many workflow steps got automated. A workflow that automates 80% of cases but makes the wrong call in 15% of them is failing, even if it looks efficient.
We own the orchestration. Your team gets a dashboard, alerts, and a Slack channel for change requests. New edge cases get folded back into the decision logic as they surface.
Where it shines
Client onboarding: conflicts check, ID verification, risk assessment, engagement letter routing — before a partner spends time on the file.
Intake triage, appointment scheduling with payer logic, prescription refill routing, and follow-up that adapts to the patient's history.
Returns processing with context — gift purchases, missing packaging, edge-case delivery. Agent decides; rules-based tools route to support.
Consulting, accounting, brokerages — proposal scoping, kickoff documents, scheduling, document collection chained into one supervised flow.
Sales-to-finance handoff, dispute resolution, vendor onboarding — wherever a process touches three or more tools and breaks at the seams.
Any process where the right action requires pulling data from several places and reasoning about it first. That pattern recurs across legal, financial, healthcare, and complex B2B services.
Workflow Ops vs Agentic Workflows
Workflow Ops automates the operational layer — SOPs, integrations, manual steps that follow predictable rules. Fast, reliable, cheap. Right for processes with predictable inputs. Agentic Workflows add a reasoning layer for processes with genuine input variability — where a rules engine handles the standard case but quietly does the wrong thing on the exceptions. If your bottleneck is connecting tools, start with Workflow Ops. If your bottleneck is the cases the tools can't read context on, you need an agent.
| Dimension | Workflow Ops | Agentic Workflows |
|---|---|---|
| What it does | Executes rules across systems. | Decides, then executes. |
| Best when | Inputs are predictable. | Inputs are variable. |
| Failure mode | Breaks loudly when input doesn't match. | Escalates when context is unclear. |
| Build effort | Days to weeks. | Weeks to a couple of months. |
| Pricing floor | From €1,800 setup. | From €3,000 design + deploy. |
Process
Two weeks. We sit with the team running the process today, map the variations, identify the exception rate, and decide whether an agentic layer is the right tool or whether Workflow Ops solves it for less. We tell you which.
One to two weeks. Scope boundary (in/out of agent control), decision logic, tool access, escalation paths, monitoring. Reviewed with the operational owner before any code.
Four to six weeks. The agent runs on real traffic with every decision reviewed alongside the outcome. Patterns where it decides incorrectly are surfaced and the logic is refined. Autonomous operation only after the supervised window closes cleanly.
Ongoing. Dashboard with exception rate, decision accuracy, processing time. Slack channel for new edge cases. Quarterly review of the decision logic against drift in inputs.
Setup
Live in 4–8 weeks.
Mapping (week 1–2) + design (week 3–4) + supervised rollout (week 5–8). Autonomous operation begins only after the supervised phase closes with acceptable decision accuracy.
Pricing
From €3,000.
Simple agentic workflows on a single system with well-defined scope: €3,000–8,000 to design and deploy. Complex multi-system workflows with extensive escalation logic: €15,000–40,000. Most well-scoped workflows pay back within 6–12 months on freed human time alone. VAT added where applicable.
Common questions
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