Work with reliable infrastructure for your organizational context, so agents can run with precision and control.
In pilots and production with regulated teams
ISO 27001 certified · SOC 2 Type II in progress
Your team tried AI. It gets things almost right. In teams like finance and operations, that still gets redone by hand.
The gap is not the model. It is context: the exceptions, the rules, the calls that live only in people's heads. Diligent4 captures it.
One approved version of every procedure, with an owner and a history, ready for any AI or automation to run.
How work gets captured, governed, and handed for execution, screen by screen.
One click, and an employee works the task as usual, across every app, talking it through. The exceptions and the reasons behind them come with it. Nothing installed, no process-mapping workshop, no forms.
A 7-hour reconciliation at one of Israel's largest investment houses now runs in 4 minutes. Zero errors.
The same procedure that runs the agent answers the new hire. No open internet, no folklore. Every answer cites the step or rule it came from.
In production at regulated financial institutions. Every deployment passed CISO review. Full overview under NDA.
Most runs finish in one shot, even complex ones.
Measured on real workflows, not benchmarks.
Runs that follow the approved procedure finish in fewer attempts, with no severe errors in our tests.
Diligent4-managed on Google Cloud. All data at rest in a single region. TLS 1.2+, AES-256, no service internet-reachable.
Dedicated tenant. Your storage bucket (GCS or Azure Blob, IAM-only, no keys), your LLM endpoints, zero-retention compute.
The platform inside your own cloud project or subscription. Your keys, your network, your audit logs. Operated with you.
In every deployment, sensitive input is redacted and output is screened for PII, tuned to the organisation's preferences. Full architecture and security overview available under NDA.
Finance is the sharpest fit. Any repeatable process whose rules live in someone's head works.
month-end close, down from the first days of the month
saved per year, risk-adjusted
one support workflow, mapped end to end
Manual matching. Exceptions handled ad hoc.
AI matches by your rules and flags only true exceptions.
Manual allocation across systems. Days of work.
AI follows your allocation logic. Days become hours.
Reps categorize and route leads by feel. Every rep does it differently.
One approved rule set scores, tags, and routes every lead the same way.
Shadowing a colleague for weeks. Knowledge leaves with people.
A training deck and a tutor generated from the approved procedures.
Context lost between teams. The next person starts from scratch.
The procedure travels with the task: steps, rules, owner, history.
Escalation paths known to two people. Inconsistent priorities.
AI triages by the documented criteria and escalates where the procedure says.