Agentic AI & Automation

AI agents run complete workflows and report the results, one workflow at a time, measured from day one.

INTAKEPicks up the requestSYSTEMSReads from your systems, never writes until provenRULESYour rules, encoded and versionedCLOSEDEvery action loggedERPHCMINBOXDOCSWithin policyApproved vendorOwner sign-offOWNERAP leadApproved
1,203Closed today
118.5Hours returned this week
CHECKPOINTINDIVIDUAL SPEED0.0× faster per person
CHECKPOINTINDIVIDUAL SPEED0.0× faster per person

The AI You Have vs. the AI You Need

Copilots Make Individuals Faster. Agents Change What a Team Can Carry.

Copilots draft emails and summarize meetings inside one application, without changing how work moves through the organization.

Agents work at the workflow level: an agent picks up a request, pulls data from your systems, follows your rules, routes exceptions to a named owner and closes the loop.

Our Approach

Assess, Prove, Scale

Assess, Prove, Scale

Most AI deployments skip straight to the build with no baseline, which is why so many pilots stall. We sequence it differently.

Assess

Know where the ROI is before you build. The readiness scorecard rates your workflows on systems, data quality, workflow maturity and team readiness. Fixed scope, fixed price, and you walk away with:

  • A systems and data map of how work really flows
  • A readiness scorecard, scored with your team
  • A ranked workflow shortlist with owners and ROI
  • A first-workflow plan with metrics committed up front

Some workflows need an agent, some a simpler automation, and some need the process fixed first. The assessment tells you which.

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STEP 01 · START HERE
AI READINESS ASSESSMENT
Systems0
Data quality0
Workflow maturity0
Team readiness0
1Cash application · 19h/wk
2Invoice matching · 41h/wk
3Close reconciliations · 27h/wk
4Hire-to-access · 15h/wk
5HR case resolution · 14h/wk
Metrics committed up front
Systems & data map
Readiness scorecard
Ranked workflow shortlist
First-workflow plan
PRICEFixed, agreed before we startTIME3–4 weeks, light lift
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What Gets Measured

Every Agent Reports to a Live Dashboard

Hours Returned

Weekly, against the pre-automation baseline

Tasks Handled by Agents

Volume moved from manual to automated, by workflow

Deadlines Held

SLA and cycle-time performance before and after

Adoption Rate

How consistently teams use the new workflow

Updated daily, summarized weekly, reviewed quarterly. If the numbers don’t move, you hear it from us first.

DWQ
Case Study

Interview feedback in the ATS the same day

The same candidate got a yes from one interviewer and a no from another, and the written debrief always came last. We built a platform that reads interviews, writes competency-based feedback and delivers it into the ATS teams already use.

Read the Case Study →

OUR DIFFERENCE

Experience Supercharged with AI

Built on Real Systems Experience

We’ve spent a decade modernizing the systems AI runs on: ERP, finance, HCM, integrations, data. If the foundation needs work, we build it first; that is what separates a demo from production.

People Stay in the Loop

Your team knows where the AI acts alone and where it waits: every agent has a human checkpoint, scoped data access and one person accountable.

Your team knows where the AI acts alone and where it waits: every agent has a human checkpoint, scoped data access and one person accountable.

Governed From the Start

Every deployment passes compliance review before it goes live, and the controls shown here ship with the agent, not after it.

Every deployment passes compliance review before it goes live, and the controls shown here ship with the agent, not after it.