The chart is where it ends
A dashboard flags a problem, then a manager exports it, asks around and decides days later. Often nothing happens at all.
Find the decisions that matter. Let agents act on them.
InsideOps is Data Semantics’ decision intelligence engine. We find the decisions behind an outcome, connect them to trusted data and your business rules, and put AI agents to work on them, with your people approving what matters and every result measured.
- 30–50 decisions per industry catalog
- Agents act, people approve
- Agents in production in Serina and Zebo
Decision boardFinance · September
Revenue+18%
Cash collected−9%
Overdue+1.4M
Decision: where to act on overdue cashOwner: FD
Signal
Decision
Action
Outcome
Driver6 customers with delivery disputes0.9M
DriverNew 60-day terms, expected0.5M
ActionResolve disputes, chase the restApproved
AgentZebo following up undisputedRunning
Works with what you already run
Microsoft FabricPower BIMicrosoft CopilotDatabricksSnowflakeTeams
The problem
Dashboards show what happened. Someone still has to decide.
Most companies have more reports than ever and the same number of decisions waiting on someone’s inbox. The gap isn’t data. It’s getting from the number to the action.
Decisions aren’t written down
Who decides, on what basis and within which limits lives in people’s heads, so it can’t be repeated, delegated or automated.
AI without business context
Copilots answer questions but don’t know your definitions, rules or approval limits, and they stop at the answer instead of acting on it.
The InsideOps loop
From the number to the action, and back again.
Every decision we build runs as one connected loop, so the result of each action feeds the next decision.
Signal
A metric moves. InsideOps finds the drivers behind it in your linked ERP, CRM and operational data.
Decision
The options, the recommended choice and the reasoning, set against your rules and approval limits.
Action
An AI agent or workflow carries it out, such as Serina, Zebo or a custom agent, with approval where it’s needed.
Outcome
The result is measured against what was expected, and the decision gets better next time.
The Data Semantics method
Seven stages from finding a decision to improving it.
The same method on every engagement, whether it runs on InsideOps or natively on your platform, so each decision we automate is documented, governed and measurable.
Discover: decision catalog
Interview the people who make the decisions behind an outcome and list them with our industry catalog.
Prioritize
Rank decisions by value, frequency and how ready the data and rules are.
Decompose: decision intelligence blueprint
Break each decision into its trigger, inputs, rules, owner, options and actions.
Intelligence: business context for AI
Connect the trusted data, definitions and drivers through a semantic layer and knowledge graph.
Govern: approvals and audit
Set approval limits, escalation paths and what the agent may never do on its own.
Act: agents that act
Put agents and workflows to work, from recommending to acting within policy.
Learn: outcome tracking
Track outcomes, compare them with expectations and refine the rules.
Talk to an expert
See how the method fits your decisions.
Talk to our team about one outcome you want to improve. We’ll walk through the stages on your decisions and data.
Talk to an expertWhere InsideOps runs
Inside our agents, or on your own data.
Inside Serina and Zebo
Decision alerts and recommendations built into finance and revenue operations, with the records behind each one. Nothing extra to set up.
On your own database or source systems
For teams without Fabric IQ, Copilot, Databricks Genie or Snowflake Cortex, or who don’t want extra AI assistant licenses. Alerts and recommendations arrive in Teams, Outlook or email.
Already on Microsoft Fabric, Databricks or Snowflake? We deliver decision intelligence natively on your platform, with the same method. See delivery options
Decision catalogs
Start from the decisions your industry already makes.
Examples from our catalogs. Yours are tailored in discovery.
Real estate & malls
Collections, sales, leasing and service.
- Which overdue buyers to contact first, and how
- When to offer a payment plan and on what terms
- Which units to promote to keep sales velocity
- Which leases to renew early, and which tenants are at risk
FMCG & consumer goods
Sales, trade spend and supply.
- Which outlets and SKUs to focus the sales team on
- Which promotions to repeat, change or stop
- Where to move stock before it expires
- Which distributors need credit attention
Retail
Range, stock and margin.
- Which lines to replenish, transfer or mark down
- Where shrinkage or margin leakage needs action
- Which stores need staffing changes
- Which customers to win back
Hospitality
Revenue, cost and guests.
- Which corporate and agency accounts to chase
- Where rates or channel mix should change
- Which cost lines are drifting from budget
- Which OTA commission lines to dispute
Trading & distribution
Credit, stock and principals.
- Which trade customers to chase or put on credit hold
- Which principal rebates and claims to pursue
- Where to rebalance stock across warehouses and vans
- Which accounts grow volume but lose margin
Want another industry?
The method works anywhere.
- Any business with repeatable operational decisions
- Catalog built in discovery, from your own decision owners
- Same seven stages, same governance
- Agents added as each decision proves out
Where to start
One outcome. One decision. Proven in weeks.
We don’t start with a platform rebuild. We start with the decisions behind one outcome you care about, prove one in a small, bounded pilot, then expand.
Talk to an expert- Decision discovery on one outcome, such as cash collection or sales growth
- Decisions ranked by value and readiness
- A bounded pilot on the top decision
- Results measured, then expand to the next decisions
- Data foundation fixed only where a blocked decision justifies it
Frequently asked questions
About InsideOps
Is InsideOps a product?
Yes. InsideOps is a Data Semantics product: a decision intelligence engine that is built into Serina and Zebo, and available on its own for teams that want decision intelligence on a single database or directly on their source systems. On Microsoft Fabric, Databricks or Snowflake, we deliver decision intelligence natively on your platform instead.
How is this different from dashboards or BI?
Dashboards show what happened and leave the decision to someone reading them. InsideOps starts from the decision itself: what triggers it, what data and rules it needs, who approves it and what action follows. Agents can then act on it and the result is measured.
How it works
When should we use InsideOps instead of our platform’s own AI?
If you run Microsoft Fabric with Copilot, Databricks or Snowflake, we usually build decision intelligence natively on that platform, using Fabric IQ, Genie or Cortex. InsideOps fits when you use Serina or Zebo, when your data sits in a single database or in the source systems themselves, or when you don’t want to add AI assistant licenses. Alerts and recommendations then arrive through Teams, Outlook or email.
Can AI agents act on decisions automatically?
Only within the limits you set. Each decision has an automation level, from recommending to acting within policy, with approval limits, escalation paths and actions the agent may never take on its own. Every recommendation, approval and action is logged and its outcome measured.
Getting started
How do we start with InsideOps?
With a decision discovery session. We map the decisions behind one business outcome, such as cash collection or sales growth, rank them by value and readiness, and pick one for a small, bounded pilot.
How long does a pilot take?
A bounded pilot typically takes 6 to 8 weeks: one business outcome, a few prioritized decisions and agreed measures of success, run on your own data and systems.
How is our data protected in InsideOps?
Data Semantics holds SOC 2 Type II and ISO 27001 and handles data in line with GDPR. Decision workflows run in your own environment, access is role-based and every recommendation, approval and action is logged. Details are in the DS Trust Center.
Start with one decision
Find the decisions worth automating first.
Book a decision discovery session. We’ll map the decisions behind one of your outcomes and show which one an agent could take on first.
Talk to an expert
