Automation & RPA
Most workflows still end at a green screen, a vendor portal or a PDF. Bots close that gap without a modernization program, and when the input is unstructured, document processing feeds them. We build the estate so it is still running in two years.
Bot estates designed for the exception, not the demo
Record-and-replay gets you a demo. Queues, retries, credential management and monitoring get you an estate that survives a vendor UI change on a Tuesday.
Back-office bot estates
High-volume transaction processing against legacy systems, mainframes and vendor portals with no API. Queue-backed with retry, dead-letter handling and exception routing to named owners.
Desktop assistants for staff
Automations triggered mid-task: pulling records across four systems, pre-filling forms, or reconciling a case without leaving the screen the user is already on.
Document processing
Mail, faxes and portal uploads arrive as images. Classify them, extract the fields that matter, validate against the system of record, and route only genuine exceptions to staff.
Process & task mining
What your systems actually do versus what the process map claims. We measure before we automate, so the business case rests on observed volume rather than someone's estimate.
CoE setup & governance
Naming standards, reusable components, environment promotion, change control and a bot inventory an auditor can read. The unglamorous part that decides whether the estate scales.
Bot fleet monitoring & run
We operate the estate under SLA, covering queue depth alerting, failure triage, selector repair after vendor updates, and monthly reporting on what each bot actually saved.
Bot, API, model, or neither
The most expensive automation mistakes come from reaching for the wrong instrument. Here is how we decide, and we will tell you when the answer is a config change instead of a project.
| Situation | What we reach for | Why |
|---|---|---|
| Structured data, no API, stable screens | Unattended RPA | Cheapest reliable path. Deterministic, auditable, no inference cost per transaction. |
| The source system has an API nobody used | Integration, not a bot | A bot over an available API is technical debt. We will say so even though it is a smaller engagement. |
| Unstructured or non-templated documents | Document AI plus validation | Templates break on layout drift. Model extraction handles variance; deterministic checks keep it defensible. |
| Judgment across several systems | Agentic workflow | Multi-step tool use genuinely beats a fixed script when the path is not knowable in advance. |
| A person needs help, not replacement | Attended automation | Keeps the human accountable for the decision while removing the keystrokes around it. |
Proof before spend
Measure
Two to three weeks, fixed price. Observed volume, handling time, exception rate and a ranked automation candidate list with real numbers attached.
Build one
The highest-value process, end to end, in production with monitoring. You see the actual saving before funding a program.
Industrialize
Reusable components, environment promotion and governance so the second through twentieth automations cost a fraction of the first.
Run or hand over
We operate under SLA while your team ramps, then transfer with runbooks written for people who were not in the room.
Start with something small enough to be reversible.
A capped assessment against your own systems and your own data. A few weeks, a fixed number, and a written answer you can use whether or not you hire us again.
Scope a pilot