Case Studies

Outcomes That Matter to Growing Teams

Not "strategy acceleration." Real-world improvements in admin time, reporting speed, data quality, and project control.

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5 Practical Results from Teams Like Yours

Illustrative scenarios for now. You can swap names and figures with your real case studies later.

B2B Services Firm · London · 95 staff

Monthly reporting cut from 4 hours per account to 30 minutes

Team leads were manually pulling delivery, financial, and pipeline data from multiple systems each month.

  • Before: 4 hours x 12 active accounts = 48 hours/report cycle
  • After: 0.5 hours x 12 accounts = 6 hours/report cycle
  • Time saved: 42 hours/month (~5.25 days), 63 days/year

Leadership impact: Faster monthly board pack prep and fewer late-night reconciliations.

Logistics Provider · Midlands · 60 staff

Duplicate keying removed across finance and project teams

Critical updates were being entered in both operations and finance systems, creating delays and mismatches.

  • Before: 2.5 admin days/week across 3 staff
  • After: 1 day/week combined with automated sync rules
  • Time saved: 4.5 days/month, 54 days/year

Frontline teams got quicker order and revenue visibility without chasing head office.

SaaS Scale-up · Manchester · 140 staff

Performance risks spotted 3-4 weeks earlier

Commercial leads lacked early warning when delivery and conversion drifted off target.

  • Before: Issues flagged at month-end review
  • After: Weekly risk indicators by team and account owner
  • Result: Earlier corrective action on at-risk accounts

Leadership impact: Better margin protection and fewer surprises during reviews.

Healthcare Operator · South East · 80 staff

Compliance packs produced in hours, not days

Data for audits and regulatory reporting was spread across spreadsheets, business tools, and email trails.

  • Before: 2-3 days of prep per major submission
  • After: Same pack in under half a day using governed datasets
  • Time saved: Up to 2 days per submission cycle

Compliance managers spend more time improving controls and less time gathering evidence.

Multi-site Enterprise · Cross-functional · 220 staff

Teams query live performance in plain English

Team leaders needed answers quickly but did not have BI or SQL capacity in-house.

  • Before: 1-2 day wait for ad-hoc reporting requests
  • After: AI coworker responses in minutes for approved queries
  • Business effect: Faster operational decisions in weekly planning meetings

Commercial and operations teams align from the same numbers, reducing internal debate.

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