Quick answer
Mako is Sharkforce’s intelligence layer for workforce operations. It answers questions with verified operational data, recommends the next move with context, and prepares real actions with approvals and logs—all from one conversation. It is grounded in check-ins, task proof, GPS events, and your own operating rules, not generic internet knowledge.
Updated April 7, 2026: This capability is now called Mako. The Ask and Agent naming has been retired.
Mako: one conversation for workforce operations
Workforce software usually makes managers work like database analysts. Open a dashboard. Stack filters. Export a report. Switch tools. Repeat.
Mako changes that. It lets operations teams ask, review, and act from one conversation grounded in verified operational data.
What Mako actually is
Mako is Sharkforce's intelligence layer for workforce operations. It is not a generic chatbot bolted onto your stack. It is grounded in check-ins, task proof, GPS events, validation history, and your own operating rules.
That means Mako can answer questions with proof, recommend the next move with context, and prepare real actions with approvals and logs.
One conversation. Three outcomes.
Answer
Mako surfaces what actually happened in your operation.
- "Who missed clock-in today?"
- "Which site had the most GPS anomalies this week?"
- "Show me the teams with the most validation failures this month."
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The useful part is not just seeing the pattern. It is knowing what to do before the pattern becomes a problem.
Mako can flag overtime risk before payroll runs, surface the compliance deadline you are about to miss, and point out the workflow change that would prevent the same issue from repeating next week.
Execute
Mako prepares actions inside the same thread. Describe the workflow you need. Ask for the report. Update the team. Review the preview. Approve the action. The log remains intact.
This is not internet AI pretending to know your business
General AI can write polished text. It cannot tell you which supervisor approved last Thursday's overtime or whether a submitted task photo was rejected for policy reasons.
Mako can, because Sharkforce already verifies the underlying reality. Facial recognition, QR attestation, GPS geofencing, and AI validation create the operational truth Mako runs on.
Your docs stay your docs
Upload SOPs, handbooks, and policy documents to your knowledge base. Mako retrieves from them and cites the source when the answer depends on your own rules.
That is stronger than vague AI memory because the answer stays traceable. It also keeps the privacy story honest. Retrieval is not the same thing as training.
This isn't a chatbot
Mako is not the kind of assistant that apologizes when it doesn't understand you. It is built for operators who need real output. Fewer menus. Fewer exports. Fewer dead-end answers. More verified decisions. More governed execution. More confidence that the record will hold up later.
That is the point of Mako. Not conversation for its own sake. Conversation that moves work.
FAQ
Frequently Asked Questions
What is Mako?
Mako is Sharkforce's intelligence layer for workforce operations. It is not a generic chatbot — it is grounded in your verified operational data (check-ins, task proof, GPS events, validation history) and your own operating rules. From one conversation it can answer questions with proof, recommend the next move with context, and prepare real actions with approvals and logs.
How is Mako different from a generic AI chatbot?
A generic chatbot can write polished text but cannot tell you which supervisor approved last Thursday's overtime or whether a submitted task photo was rejected for policy reasons. Mako can, because Sharkforce already verifies the underlying reality through facial recognition, QR attestation, GPS geofencing, and AI task validation. The operational truth Mako runs on is already proven before the conversation starts.
Can Mako execute actions or does it only answer questions?
It does both. Mako answers ("who missed clock-in today?"), recommends ("flag overtime risk before payroll runs"), and executes ("reassign Mike's tasks to David"). Every action it prepares goes through the same approval and audit trail as a manual action — Mako does not bypass governance, it accelerates it.
Does Mako train on my documents?
No. When you upload SOPs, handbooks, and policy documents to your knowledge base, Mako retrieves from them and cites the source when the answer depends on your rules. Retrieval is not the same as training — your documents stay your documents, and the answer stays traceable to the specific source.
What does "grounded in verified data" actually mean?
It means Mako's answers come from the same operational records the platform already enforces: geofence entries, facial recognition check-ins, task validation results, and workflow logs. When Mako tells you a site had GPS anomalies this week, it is reading the actual geofence event log, not guessing from a generic model.
Run workforce operations from one conversation.
Mako answers with verified data, recommends the next move with context, and prepares actions with approvals and logs — grounded in your actual check-ins, task proof, and GPS events. Start free or book a demo.
