Legacy system automation
Green-screen terminals, desktop ERP clients and portals without APIs, driven reliably and monitored for drift.
Service 04
Process automation (RPA)
Not everything needs AI. Where the rules are known and the volume is high, deterministic automation is cheaper, faster and fully auditable.
What it includes
Scheduled reconciliation
Ledger, inventory and payment reconciliations that run overnight and leave a clean exception list by morning.
Exception queues with owners
Every failure lands with a named team, a deadline and the context needed to resolve it — never in a shared inbox.
Idempotent, restartable jobs
A job that dies halfway can be re-run without double-posting, which is what makes finance teams trust it.
Change detection
When a vendor changes a screen or a file format, the bot alerts instead of silently writing wrong data.
Audit trail by default
Every action is logged with the inputs, the actor and the result, exportable for internal or statutory audit.
What you receive
- —Process documentation as built
- —Automation jobs with scheduling
- —Exception queue and ownership matrix
- —Alerting and health checks
- —Handover training for the operating team
Typical stack
- Python
- Playwright
- Queue workers
- Postgres
- Scheduler
- ·Legacy screen and ERP automation
- ·Scheduled reconciliation and reporting jobs
- ·Exception queues with clear ownership
Questions we are asked
- Is RPA not outdated now that AI exists?
- No. For fixed rules and high volumes, deterministic code is cheaper, faster and easier to audit. We use models only where judgement is genuinely required, and often the two run side by side.
- What happens when the source system changes?
- The job detects the change and stops rather than writing wrong data, then alerts the owning team. We include a maintenance allowance for exactly this.
- Do you need production credentials?
- We work in a sandbox first, with least-privilege service accounts, and never store credentials in code. Production access is granted by you and revocable at any time.
- How much time does this typically save?
- On reconciliation and data-entry work we usually see 60-80% of the manual hours removed, with the remainder becoming genuine exception handling.
Related services
01
Agentic workflows
Multi-step AI agents that plan, call your tools and verify their own output before a human ever sees it.
02RAG & knowledge systems
Retrieval grounded in your own documents, with citations, per-role permissions and a measured accuracy budget.
03Custom LLM applications
Fine-tuned and orchestrated models wrapped in the interfaces your teams already work in.