Stop managing tools.
Start running your business.

The Digital Operating Platform gives growing businesses a single source of truth — and five AI agents trained on their data to do the analysis their team doesn’t have time for.

The Problem It Solves

Growing businesses reach a point where operational complexity starts to constrain growth. Systems that worked for one location become liabilities at five. Data lives in too many places. Decisions get made on incomplete information. Hiring more people to manage the administration doesn’t fix the underlying problem — it makes it more expensive.

The Five AI Agents

Operations Agent

Monitors schedules, capacity, and utilisation. Detects anomalies. Generates weekly operational health reports automatically.

HR Agent

Tracks compliance, onboarding status, and scheduling. Flags documentation gaps and turnover risk before they become problems.

Finance Agent

Answers revenue and margin questions in real time. Tracks payment flows. Identifies revenue leaks and cost issues.

Sales and Marketing Agent

Identifies churn risk and upsell opportunities. Evaluates campaign effectiveness. Segments customers by behaviour and value.

Executive Assistant Agent

Daily and weekly digests. Strategic Q&A. Quantified trade-offs for decisions. Surfaces what needs your attention.

  • All agents are private and self-hosted
  • Your data never leaves your infrastructure
  • All sensitive actions require human approval
  • Full audit trail maintained

AI Best in Class — What Real Businesses Are Achieving

13 case studies spanning retail, professional services, healthcare, hospitality, manufacturing, and logistics. Focused on results verifiable against operational data — not projections or theoretical models.

01 · Retail · Inventory

Automated Stock Forecasting Reduces Overstock by 31%

−31% end-of-season write-offs  ·  −22% out-of-stock events  ·  −40% buying team time on manual analysis

02 · Healthcare · Clinic Operations

AI Scheduling Cuts No-Shows by 28% and Admin Cost by €85K Annually

No-show rate 19% → 13.7%  ·  −€85K/year admin  ·  Utilisation 71% → 84%

03 · Professional Services · Billing

AI Billing Automation Recovers €120K in Previously Unbilled Time

+€120K recovered year one  ·  Disputes 14 days → 3 days  ·  +4.2pp net revenue margin

04 · Manufacturing · Quality Control

Computer Vision QC Reduces Defect Rate by 67%

Detection 88% → 98.7%  ·  +19% production throughput  ·  −67% warranty return costs

05 · Hospitality · Revenue Management

Dynamic Pricing AI Increases Revenue Per Room by 18%

+18% RevPAR  ·  +6pp occupancy  ·  Zero management time on pricing

06 · E-Commerce · Customer Service

AI Support Agent Handles 73% of Queries Without Human Escalation

73% resolved without human  ·  Response 11 hrs → 4 min  ·  +22pts satisfaction  ·  Headcount flat at +40% volume

07 · Legal · Document Review

Contract Review AI Cuts Due Diligence Time by 60%

42 hrs → 17 hrs per transaction  ·  96%+ clause accuracy  ·  +35% transaction capacity

08 · Financial Services · Risk

AI Risk Scoring Reduces Loan Default Rate by 24%

Default 7.2% → 5.5%  ·  −40% decision time  ·  +30% underwriter capacity

09 · Construction · Project Management

AI Project Monitoring Reduces Cost Overruns by 41%

−41% cost overruns  ·  −33% schedule delays  ·  Reporting 8 hrs → 2 hrs/week

10 · Logistics · Route Optimisation

AI Routing Saves €280K Annually in Fuel and Driver Time

−€190K fuel  ·  −34% driver overtime (−€92K)  ·  On-time 87% → 94.5%

11 · Food & Beverage · Multi-Site

AI Operations Platform Increases Margin by 5.8% Across 9 Sites

Food waste 14% → 8.3%  ·  −6.2% labour costs  ·  +5.8pp group margin

12 · HR & Recruitment · Candidate Processing

AI Screening Reduces Time-to-Hire by 45% Without Reducing Quality

Shortlist 11 days → 6 days  ·  −35pp screening time  ·  +40% role capacity

13 · Architecture & Engineering · Design

AI Design Assistance Increases Fee-Earning Output by 30%

Non-design time 60% → 38%  ·  +30% fee-earning output  ·  −71% specification errors

These are illustrative case studies. They are not attributed to specific named companies.

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