Take repetitive work off people — with AI agents you can hold to account.
Take repetitive work off people with AI agents and workflows you can see working.
Every enterprise runs on work that is repetitive, rule-bound and quietly expensive: documents keyed by hand, requests routed by email, exceptions chased on the phone. We find that work, redesign it, and automate it with AI agents and workflow systems that keep people in the loop where judgment matters — and we instrument every step so the effect is visible.
Problems we solve
What this practice is usually hired to fix.
Documents processed by hand
Invoices, applications, claims and contracts that arrive as PDFs and scans and get re-keyed into systems by people who could be doing something else.
Requests that live in inboxes
Customer and internal requests routed by email and spreadsheet, with no view of what is waiting, for how long, or with whom.
Customer service that does not scale
Contact volumes rising faster than teams, with the same questions answered thousands of times.
Automation that was tried once and broke
Scripts and macros built around one person, undocumented, and now a risk nobody wants to touch.
Our approach
Discover, design, automate, integrate, measure — then again.
A loop, not a project. Each pass takes one process from discovery to measured impact and earns the next.
Where does time go, and what does it cost?
Find the work worth automating
We map processes as they actually run — not as the procedure manual describes them — and measure volume, effort, error rates and wait time. The candidates rank themselves.
- Process inventory with volumes and cost
- Ranked automation candidates
- Baseline metrics for each
What we build
What we build, and what it is for.
Process discovery and redesign
We map the work as it actually happens, quantify it, and redesign it before automating — automating a bad process only makes it fail faster.
AI agents with human oversight
Agents that read, classify, extract, draft and route, with confidence thresholds and review queues so people handle the exceptions and the machine handles the volume.
Document processing
Intake pipelines for structured and unstructured documents that feed clean data into your systems of record.
Workflow and back-office automation
Orchestrated workflows across finance, operations and customer functions, integrated with ERP, CRM and ticketing rather than bolted on beside them.
AI-assisted customer service
Assistants that resolve routine contacts and hand off cleanly, grounded in your own policies and data.
Technologies underneath
The tools, listed where they belong.
We are deliberately platform-fluent rather than platform-loyal. These are the technologies we work in most often; the choice among them is made with you, for your estate and your team.
- Large language models
- Agent frameworks
- Retrieval over enterprise content
- Evaluation and monitoring
What we measure
Every engagement in this practice reports against numbers like these — baselined at the start, tracked on the platform we build.
- Hours of manual work removed each month
- Cycle time from request to resolution
- Straight-through processing rate
- Exception rate and time to resolve an exception
Industries
Where this practice does its best work.
- Energy & utilitiesMeter-to-cash, outage and asset data that finance and operations can both trust.
- Financial servicesRisk, finance and customer data that stand up to regulators and to the board.
- TelecommunicationsSubscriber, network and revenue data unified for a business measured in real time.
- Government & public sectorService delivery and public finance data that citizens and ministers can both see working.
- ManufacturingPlant, supply chain and finance data in one model, so decisions stop waiting for the month to close.
- InsurancePolicy, claims and finance data that make underwriting and service faster and more consistent.
Tell us what you're trying to solve.
Bring us the reporting, process or system that is costing you the most. We will tell you within a short conversation whether this practice is the right place to start.