AI
AI that does real work — with a human always in the loop.
AI at Pishon Digital isn't a chatbot bolted onto a website. It's a team of specialized agents already running inside our own business — researching leads, drafting support replies, watching for risk — and every single action they propose is reviewed by a person before it goes live.
7
Specialized agent roles
10
Types of action they can propose
100%
Reviewed by a human before going live
Meet the team
Seven agents. Seven jobs. Zero autopilot.
Instead of one vague 'AI assistant', we built specialized agents — each scoped to a real job, each producing something a human reviews before it does anything.
Customer Support
Drafts replies to open support tickets, ready for a human to review and send.
Product Manager
Qualifies new leads the moment they arrive, and follows up on the ones that have gone quiet.
Operations Manager
Watches for expiring licences, overdue subscriptions, and suspicious login activity.
Communications Manager
Drafts client outreach emails and proposes meeting times for pending demo requests.
Marketing
Writes complete, publish-ready blog content and cover images grounded in what we've actually shipped.
Marketing Manager
Summarizes the sales and marketing pipeline into a digest for leadership to review.
Lead Generation
Researches real companies — and government tenders — that match what we build.
How it works
Nothing goes live without a human.
Every agent follows the same four-step discipline, regardless of what it's proposing.
Step 1
Propose
An agent researches or drafts something real — a reply, a lead, a digest, a report.
Step 2
Review
It lands as a pending action in the admin queue, visible before anything happens.
Step 3
Approve or reject
A human with the right permission decides — nothing applies itself.
Step 4
Audit
Every decision is logged: who, what, and when — a permanent record, not a black box.
Enterprise control
Built for the questions your CISO will actually ask.
This isn't a demo of what AI could do someday — it's the governance layer already running our operations, every day.
Human-in-the-loop, always
No agent action goes live until a person approves it. Every time, no exceptions.
Role-based approval authority
Different action types require different levels of sign-off, mapped to real admin roles.
A complete audit trail
Every proposal, approval, and rejection is recorded — a real history, not a guess.
SLA-tracked escalation
Pending actions that sit too long get flagged automatically, before they become a problem.
Cost visibility & spend caps
Every agent run tracks its own usage against a live spend cap — no surprise bills.
Real-time observability
Every run is monitored end-to-end, so a failure surfaces immediately, not days later.
In our products
AI built into the products themselves.
The same discipline extends into what we build for you — intelligence with a human decision-maker in the loop, not a black box making calls on its own.
MineGuard
- AI Compliance Monitoring
- Continuously analyses compliance data against mining regulations and company policies.
- Identifies missing, expired, or non-compliant requirements.
- Highlights high-risk compliance gaps.
- Predictive Compliance
- Predicts potential compliance failures before they happen.
- Provides 30-, 60-, and 90-day warnings for permits, licences, training, medicals, inspections, and certificates.
- Prioritises issues based on risk and business impact.
- AI Document Intelligence
- Reads and analyses uploaded permits, certificates, inspection reports, policies, risk assessments and other documents.
- Extracts important dates, obligations, responsible persons and compliance requirements automatically.
- Detects missing or inconsistent information.
- Automated Compliance Reports
- Generates executive-ready compliance reports automatically.
- Produces reports for the GM, COO, Safety, Compliance, HR and other departments.
- Converts complex compliance data into simple management insights.
- AI Risk Prediction
- Analyses historical incidents, inspections, non-conformances and operational data.
- Identifies patterns associated with future incidents or compliance failures.
- Produces risk scores for contractors, departments, sites and activities.
- Contractor Risk Intelligence
- Continuously evaluates contractor compliance.
- Calculates contractor risk scores.
- Identifies contractors requiring immediate intervention, suspension or additional verification.
- AI Incident Analysis
- Analyses incident and near-miss reports.
- Identifies recurring patterns and contributing factors.
- Suggests corrective and preventive actions for management review.
- Regulatory Intelligence
- Maps operational requirements against applicable mining legislation and internal standards.
- Helps identify which regulatory requirements are affected when processes or circumstances change.
- Maintains an auditable connection between requirements, evidence and compliance status.
- AI Executive Assistant
- Allows executives to ask questions such as:
- “What are our biggest compliance risks?”
- “Which contractors are currently high risk?”
- “What expires in the next 30 days?”
- “Why did our compliance score drop?”
- “Show me unresolved Section 54-related risks.”
- Provides answers using MineGuard's authorised data.
- Root-Cause Intelligence
- Connects incidents, inspections, training, contractor performance and non-conformances.
- Helps identify underlying causes rather than simply reporting symptoms.
- AI Action Recommendations
- Recommends corrective actions based on the type and severity of a finding.
- Assigns suggested priority, responsible department and target completion date.
- Natural-Language Search
- Users can search MineGuard using normal language instead of navigating through multiple dashboards.
- Example: “Show me all high-risk contractors with expired medical certificates.”
- Compliance Score Intelligence
- Explains why a mine, contractor or department received a particular compliance score.
- Identifies the factors most responsible for score changes.
- Forecasts potential future scores.
- Early-Warning System
- Detects combinations of risk indicators that may require management attention.
- Generates proactive alerts before a problem becomes a major operational or regulatory issue.
- AI Audit Preparation
- Reviews available evidence before an internal or external audit.
- Identifies missing evidence and unresolved findings.
- Generates an audit-readiness score and preparation checklist.
Curious what this could do inside your operations?
Tell us about the workflow that eats your team's time. We'll tell you honestly whether an agent — or a person — is the right answer.