Agent Strategy
You know AI agents are the move. You don't know which workflows to target first. We run sprints against your real data and tell you exactly where agents will deliver.
Read moreAgent type
Workflow agents for the work your team shouldn't be doing by hand
Manual workflows are the slowest, most expensive part of your business. Workflow agents read the inputs, take the actions, update the systems, and hand off to humans when it matters. We design them, build them, and run them in production.
Trusted by teams building and running mission-critical platforms
Challenges
The challenge with the status quo
Every team has a backlog of manual workflows nobody enjoys doing. Tickets to triage, forms to enter, approvals to chase, reconciliations to grind through. Most teams hire around them or outsource them. Both options scale linearly with cost. Agents don't.
Operators drown in routine tasks before they get to high-value work
01Workflows that should take minutes take days, blocked on a human handoff
02You can't hire fast enough to keep up with rising volume
03Outsourcing adds latency and error rates without solving the underlying problem
04Approach
How we deliver in production
How workflow agents get built, from mapping the work through to running them in production.
01
Workflow mapping
We map every step of the manual workflow — inputs, decisions, handoffs, systems touched. The steps worth automating reveal themselves.
02
Agent design
We design the agent's decision boundaries: what it reads, what it acts on, where it escalates, and how it logs every step.
03
Production engineering
We build the agent on your stack — Azure, .NET, Semantic Kernel — integrated with your systems of record. Guardrails and observability from day one.
04
Run & improve
Once in production, we monitor accuracy, cost, and edge cases. We tune the agent as the workflow evolves and hand off when your team is ready to run it.
Outcomes
What you get
Typical ranges for workflow agents running in production.
Share of steps in a typical manual workflow that agents own end-to-end
70-90%
tasks automated
Agents work the workflow without overtime, vacation, or attrition
24/7
always-on
Typical volume increase once a workflow moves from human to agent
5x
throughput
Capabilities
What we deliver
What workflow agents do in practice, and what you can hold us to.
01
End-to-End Execution
Agents own the full workflow — not just one step. They read, decide, act, update systems, and escalate only when needed.
02
System-of-Record Integration
Agents connect to your CRM, ERP, ticketing system, data warehouse, and internal APIs. They write back. They don't just answer questions.
03
Human-in-the-Loop
Agents escalate on confidence thresholds, exceptions, and high-stakes decisions. Humans approve, override, and audit.
04
Audit Trails by Default
Every action is logged with reasoning, inputs, and outputs. SOC 2, HIPAA, and SOX-ready evidence on day one.
05
Confidence Scoring
Agents know when they're unsure. Low-confidence cases route to humans automatically. No black-box decisions.
06
Continuous Tuning
We monitor production performance and tune for edge cases, drift, and changing inputs. The agent gets smarter over time.
How to get one
The engagements that build workflow agents
Most workflow agents engagements start with strategy, move through engineering, and end up in operations. Pick where you are.
Start here
Bring us the manual workflow
The process someone runs the same way every day. We will map it, tell you which steps an agent can own, and where a person should stay in the loop.