AI Data & Analytics
Our AI analytics agents connect to all your data sources and deliver insights on demand. Ask questions in plain English, get automated dashboards, catch anomalies early, and replace your weekly reporting cycle with a live intelligence layer.
What you get
Managed implementation, workflow setup, and ongoing optimization inside your existing stack.
Best fit
Teams that want faster execution without adding full-time headcount or rebuilding internal processes from scratch.
Production-grade delivery
We configure the agent around your actual tools, approvals, and workflows so outputs are usable from day one.
Built around your process
The service wraps the technology with onboarding, guardrails, and operational handoff instead of leaving your team to figure it out.
Human oversight by design
Review gates, escalation rules, and security boundaries are defined up front before the agent is trusted with live work.
What Hiretecky Does
A service package, not just a tool login
We turn the agent into an operational capability your team can actually use.
Natural Language Data Queries
Ask "What was our churn rate last quarter by cohort?" and get an answer — no SQL, no data team required.
Automated Dashboard Generation
Define the KPIs you care about. The agent builds and maintains live dashboards that update automatically.
Anomaly Detection & Alerting
Get proactively alerted when metrics move outside expected ranges — before it becomes a problem.
Scheduled Report Delivery
Weekly exec summaries, monthly board packs, and daily ops reports delivered automatically to your inbox or Slack.
Cross-Source Correlation
Connect marketing spend, product usage, sales data, and support tickets in one place — find insights that live in the intersections.
Predictive Trend Analysis
Forecast revenue, churn, and growth based on historical patterns and leading indicators.
Deliverables
Clear outputs your team can hold us to
Each engagement ships with documented outcomes, integrations, and reporting so you know exactly what is being deployed.
Works with
Connected data sources (up to plan limit)
Executive KPI dashboard
Automated weekly and monthly reports
Anomaly detection alerts configured
Natural language query interface
Data source documentation
Delivery Process
How the engagement rolls out
We start with a narrow pilot, measure output quality, and only expand once the workflow is stable.
Data Source Audit
We map all your data sources, assess quality, and identify the highest-value reporting gaps.
KPI Definition
Work with your team to define the metrics that matter most — and the reports leadership actually reads.
Connection & Testing
Connect all sources, build initial dashboards, test accuracy against your existing reports.
Handoff & Training
We train your team on the natural language interface and set up automated delivery schedules.
FAQ
Questions teams usually ask before rollout
Do we need a data team to use this?
No. InsightPulse AI is designed specifically so non-technical stakeholders can query and understand their data. Your data team can still access raw outputs if needed.
How accurate is the natural language query?
For well-structured data sources with clear column naming, accuracy is typically 90%+. We do a calibration pass during onboarding to optimize for your specific data schema.
What if our data is messy?
We include a data quality assessment in onboarding and can help remediate common issues. Severely messy data may require a cleanup project before the agent can operate reliably.