Executive analytics modernization
Fragmented program reporting became a governed leadership review.
Client context: Public-sector modernization program spanning 100+ agencies, with dashboards and citizen-service data scattered across departments.
Problem: Leaders had activity data, but no dependable view of performance, service bottlenecks, or what needed executive attention.
- What we did: Defined KPI logic, shaped executive dashboard patterns, reviewed data quality risks, and established performance-review routines.
- Deliverables: KPI model, dashboard blueprint, data issue log, review cadence, and executive readout.
- Result: The cross-agency reporting cycle fell from about three weeks to under five days, and leadership reviews now run from a single agreed source instead of competing spreadsheets.
AI document intelligence
An enterprise ingestion pipeline replaced manual document handling at scale.
Client context: Enterprise services firm processing recurring document packages for a base of 28,000 clients.
Problem: Intake, extraction, and reconciliation were manual. Errors surfaced late, and skilled staff spent their time re-keying documents instead of reviewing exceptions.
- What we did: Built an AI-powered ingestion pipeline with classification, extraction, validation rules, an exception review queue, and audit logging.
- Deliverables: Production pipeline, validation ruleset, review queue, accuracy evaluation report, and operating runbook.
- Result: About 110 hours of manual handling saved per client per year across the 28,000-client base, with extraction accuracy verified against a human-reviewed sample before scale-up.
Machine learning: recommendation engine
Personalized offers replaced one-size-fits-all campaigns.
Client context: Consumer-scale operator with millions of subscribers and a broad product catalog.
Problem: Campaigns went to everyone. Conversion was low, opt-outs were rising, and the marketing team had no way to match offers to likely buyers.
- What we did: Built a recommendation model on usage and purchase history, deployed it behind the campaign platform, and set up an A/B testing and retraining loop.
- Deliverables: Production recommendation service, MLOps pipeline with drift monitoring, experiment framework, and a campaign playbook.
- Result: Cross-sell conversion on targeted campaigns improved by about 18% against the holdout group, with the model retrained on a monthly schedule.
Machine learning: fraud detection
Anomaly scoring cut the noise drowning the fraud team.
Client context: Financial services operation where rule-based alerts buried analysts in false positives.
Problem: Analysts reviewed thousands of rule-triggered alerts to find a handful of genuine cases, and real fraud slipped through the backlog.
- What we did: Trained a supervised scoring model on confirmed case history, layered it over the existing rules, and built reviewer feedback back into retraining.
- Deliverables: Scoring model, alert prioritization workflow, model documentation for compliance review, and a monitored retraining pipeline.
- Result: False positives routed to analysts dropped by about 40% while confirmed-case catch rate held, freeing reviewer time for genuine investigations.
Managed analytics support
A growing team got recurring analytics capacity without building a full internal function first.
Client context: Operating team that needed consistent reporting, dashboard QA, and management-ready analysis.
Problem: Reports were prepared under deadline pressure, with manual reconciliation and unclear ownership of metric changes.
- What we did: Built a reporting cadence, documented KPIs, checked source quality, created issue logs, and supported leadership review.
- Deliverables: Monthly reporting pack, KPI dictionary, insight memo, dashboard QA checklist, and data quality log.
- Result: Around 25 hours of manual report assembly eliminated each month, and reconciliation issues are now caught before leadership review instead of during it.
Penetration testing and hardening
A pen test that ended in verified closure, not a shelf report.
Client context: Mid-sized financial services operation preparing for a regulator-driven security review.
Problem: Leadership had no independent evidence of how the environment would hold up against a real attacker, and previous assessments had produced findings nobody closed.
- What we did: Ran scoped external, internal, and web application testing, then worked the remediation plan with the client's IT team and retested.
- Deliverables: Findings report with evidence and severity ratings, remediation plan with owners, hardening guidance, and retest verification letter.
- Result: All four critical and nine high-severity findings were remediated and verified closed within 60 days of the initial report.
Compliance automation
Audit preparation went from a quarterly scramble to a continuous process.
Client context: Regulated enterprise maintaining compliance against ISO 27001 controls and national data protection obligations.
Problem: Every audit cycle, teams spent weeks manually gathering screenshots, exports, and sign-offs as control evidence, and gaps were discovered during the audit instead of before it.
- What we did: Mapped controls to data sources, automated evidence collection and control monitoring, and built a compliance dashboard with exception alerts.
- Deliverables: Control-to-evidence map, automated collection workflows, compliance dashboard, and audit-readiness runbook.
- Result: Audit preparation time fell from about six weeks to under two, and control gaps now surface as alerts during the quarter instead of as audit findings.
Cybersecurity operations readiness
Security tools became a practical control and response discipline.
Client context: Multi-client security operations environment covering endpoint, identity, cloud, alerting, and vulnerability management across about 1,500 endpoints.
Problem: Tool coverage existed, but leaders needed clearer prioritization, control ownership, and response readiness.
- What we did: Reviewed detection workflow, identity controls, cloud posture, vulnerability process, and incident-response operating gaps.
- Deliverables: Control action plan, vulnerability workflow, Sentinel and Defender guidance, incident-readiness checklist, and leadership summary.
- Result: Median alert triage time fell from hours to under 15 minutes, and critical vulnerabilities closed within SLA rose to about 95%.
Energy operations reporting
Multi-site operations reporting that closed the argument.
Client context: Energy services operator running field operations across seven sites with contractor-heavy delivery.
Problem: Each site and contractor reported in its own format and on its own schedule. Monthly reviews opened with reconciliation arguments, and compliance documents took days to locate when partners or regulators asked.
- What we did: Defined a single operations reporting standard with named owners, consolidated contractor reporting into it, and built a controlled document repository with expiry tracking for permits and certifications.
- Deliverables: Metric dictionary, consolidated reporting model, executive operations pack, document control workflow, and review cadence.
- Result: Monthly review preparation fell from about ten days to three, and compliance document retrieval went from days of phone calls to a same-day search.
AI knowledge assistant
A RAG assistant that turned the policy manual into answers with sources.
Client context: Operations organization whose teams depended on a small expert group to interpret hundreds of pages of policies and procedures.
Problem: Routine policy questions queued behind a few veterans. Answers took hours or days, and new staff took months to become independent.
- What we did: Built a retrieval-augmented assistant over the curated policy corpus, running inside the client environment, with document-level access control, source citations on every answer, and an evaluation set scored before launch.
- Deliverables: Production assistant, curated corpus with version control, evaluation report, access model, and operating runbook.
- Result: About 60% of routine policy questions are now resolved by the assistant with cited sources, and median time-to-answer dropped from hours to under a minute.
Corporate training
An analytics upskilling cohort that ended with working deliverables, not certificates.
Client context: Enterprise finance and operations teams dependent on a central data group for every report and ad hoc question.
Problem: Analysts could consume dashboards but not build or validate them, so the central team was a bottleneck and small questions waited in its queue.
- What we did: Ran a role-based cohort covering SQL, Power BI, and KPI discipline, with every capstone project built on the company's own data and reviewed by managers.
- Deliverables: Role-based curriculum, exercise environments, capstone reviews, manager scorecards, and a post-program support plan.
- Result: 22 of 24 participants completed capstones that went into monthly use, and ad hoc requests to the central data team fell by about a third in the following quarter.
