Cyber Automation
Custom AI agents that do repetitive work around the clock, with human review where it matters.
Cyber Automation puts AI agents on the repetitive work that fills office days: entering data from documents, sorting incoming requests, preparing routine reports and moving information between systems. The goal is not to remove people but to move them to work that needs judgment.
We build the agents around your actual processes and put controls around them: limits on what they may do, logs of what they did and human approval for anything sensitive. Automation that cannot be audited is a liability, so ours is designed to be inspected.
At a glance
We design and run custom AI agents that take over repetitive, entry-level work such as data entry, triage, reporting and document processing, so your people spend their time on judgement.
The problem
Data entry, triage, reporting and document processing are the work AI agents now do well. Companies that plan the transition keep quality while reducing manual effort. Companies that wait face the same change later, with less time to manage it.
The risk of waiting is not only cost. Competitors that automate routine work respond faster and make fewer typing errors. The risk of rushing is real as well: an agent with access to sensitive systems and no guardrails can do damage quickly. A planned transition avoids both.
What we deliver
- Process discovery: which tasks can be automated safely, and what they cost today
- One agent or a small fleet, custom-built for your workflows
- Integration with your existing systems, email and documents
- Guardrails, audit logs and human approval for sensitive decisions
- Deployment in your infrastructure or ours, monitored 24×7
- Our approval and audit model: every agent action logged, and a human approves changes before they take effect
- A narrow identity for each agent, with access limited to what its task needs
- Monitoring of what client agents do, using the client's agent-management tools: agent-action logging, alerts for out-of-bounds actions and a response playbook for a hijacked or misbehaving agent
- Our approval model, published at /how-we-use-ai/, applied to every agent we build or run for you
Typical targets include invoice and form entry, mailbox triage, document classification and summaries, scheduled reporting and voice or email front-desk tasks. We start with the process that costs the most hours and carries the least risk, prove it works, and then widen the scope.
Where data is sensitive, the agents run in your infrastructure or in a private environment we operate, using local or private models when the information must not leave your control.
Automation is not limited to the office. For factories, our article "OT and ICS Security for Manufacturers" explains, with NIST SP 800-82 Rev. 3 and CISA guidance, how to connect machines to automated monitoring without opening the plant floor to attackers.
Our approval and audit model applies to the agents we build for you and to the automation we use ourselves. Each agent has its own identity and only the access its task needs. Every action is written to a log you can read. Routine, low-risk steps can run on their own; any change to systems, money or credentials waits for a person to approve it.
Once agents are running, someone has to watch them. Using your agent-management tools, and where your Microsoft licensing allows, we log what each agent does, alert when one acts outside its allowed scope and keep a playbook for stopping a hijacked or misbehaving agent. The rules we follow for our own agents are published at /how-we-use-ai/.
Automated data entry
Bots read invoices, forms and emails, check every field, and post clean records to your books, with a person reviewing only the uncertain cases.
AI email processing
Every email is read, sorted and either answered with a drafted reply or sent to the right person within seconds, and all of it is logged in your CRM.
Three approval tiers for AI agents
Every action an agent can take falls into one of three tiers: it runs on its own, a named person approves it first, or a human always does it. The examples are illustrative; each firm draws its own lines during scoping.
Our process
- 1
Map
We document the process as it really runs today.
- 2
Prototype
A working agent on real (sanitized) examples within days.
- 3
Evaluate
We measure accuracy against your current quality bar before anything goes live.
- 4
Deploy
Rollout with monitoring, human review and a handover to your team.
The evaluate step matters most. Before an agent touches live work, we measure it against real examples from your business, record where it errs and set the thresholds at which it hands work to a person. You see the results before you decide to deploy.
Frequently asked questions
Direct answers to the questions we hear most. Something else on your mind?
Send us a messageWhat kind of work can be automated?
Repetitive, rules-based work with clear inputs and outputs: data entry, document intake and classification, ticket triage, report preparation, reconciliation and first-line responses.
Where does the automation run?
Wherever your data must stay: inside your own infrastructure, in a private cloud or on infrastructure we operate for you.
Which tasks are best to automate first?
Start with repetitive, high-volume work that follows clear rules, such as invoice or document intake, ticket triage, report preparation or reconciliation. We review your processes and rank them by effort saved and risk.
Will AI agents replace my staff?
Our aim is to take repetitive, entry-level work off your people so they can focus on judgement and clients. We design automation with human review where mistakes would be costly.
Is it safe to give an AI agent access to our data?
We design agents with least-privilege access, logging and review points, and we can run them inside your own infrastructure so data does not leave your control. We review each design for security before launch.
How long does an automation project take?
Many projects are delivered in weeks. We scope one process first, prove it works, then expand.
How is an automation project scoped?
We map your processes first, then agree which to automate, the systems connected and where the agent runs. A written proposal follows; pricing is discussed during scoping.
What if the automation makes a mistake?
We build checks, confidence thresholds and approval steps into each agent and keep audit logs, so errors are caught and traceable. We tune the agent as real work reveals edge cases.
Can an AI agent change our systems without approval?
No. Agents run on their own only for reading, sorting and drafting. Anything that alters a system, such as changing a security setting, deleting data, disabling an account or sending an external message, waits for a person to approve it. Each action is logged, and every agent has a kill switch.