Gallag Works — AI Transformation
www.gallag.works · hello@gallag.works
What I Do
Gallag Works is a founder-led AI transformation practice for high-volume, handoff-heavy operations. I identify and eliminate Human Middleware — the manual re-keying, spreadsheet workarounds, and coordination overhead that consume enterprise capacity and erode margins. I sit in the gap between the consultancies who write the strategy deck and the dev shops who build the tool. I design how work should move, then build the systems that make it happen.
The Problem: Human Middleware
Human Middleware is skilled, expensive talent operating as manual connectors between disconnected systems: copy-paste routines, spreadsheet reconciliation, email-based approvals, and manual re-keying. It is the single largest source of hidden operational cost in high-volume operations. Most organisations don't see it because it's embedded in "how things are done." I make it visible, then I engineer it out.
Services
1. Operational X-Ray
- Duration: 2–3 weeks, fixed scope
- Purpose: Pareto-driven diagnostic identifying the 20% of Human Middleware causing 80% of operational friction
- Deliverable: Quantified margin recovery map with prioritised intervention points and projected ROI
2. Workflow Engineering
- Duration: 4–8 weeks, proof of value
- Purpose: Re-engineer highest-friction workflows into production-ready systems
- Approach: AI handles the predictable majority while your experts retain governance over the exceptions
3. Fractional AI Leadership
- Duration: Retainer or phase-based
- Purpose: Embedded strategic leadership for teams who need an experienced operator to drive their AI transformation
- Approach: Human-in-the-loop safety rails ensuring system control and champion-led adoption across teams – without the overhead of a full-time hire
Methodology
- Map: Document every manual touchpoint, handoff, and reconciliation loop across the workflow
- Measure: Quantify time, cost, and error rates at each friction point
- Architect: Design the operational infrastructure to eliminate manual intervention
- Build: Engineer production-ready systems, not strategy decks
- Govern: Embed exception handling, audit trails, and human oversight into every automated workflow
Key Results
- £1.5M+ in identified operational leakage recovered
- 1,200 hours of annual capacity reclaimed
- 98% reduction in manual processing effort
- 50%+ reduction in turnaround times
- 97% workload reduction on high-volume allocation tasks (10 hours → 15 minutes)
- 85% reduction in missed deadlines through process re-engineering
- 60% reduction in manual checking via automated validation pipelines
Differentiators
- Founder-led: Every engagement is directed by Ben Gallagher personally – not a junior team
- Tool-agnostic: I work within your existing technology stack; no platform lock-in
- Production-ready: Working systems, not 50-page strategy decks
- Human-in-the-loop: AI augments decisions; humans retain authority
- InfoSec-aligned: Enterprise-grade data handling within your security frameworks
- Outcome-based: Engagements measured by capacity reclaimed and margin recovered, not hours billed
Frequently Asked Questions
What does Gallag Works do?
Gallag Works is a founder-led AI transformation practice. I identify and eliminate Human Middleware — the invisible manual processes consuming enterprise capacity and eroding margins.
What is Human Middleware?
Human Middleware is skilled, expensive talent operating as manual connectors between disconnected systems — copy-paste routines, spreadsheet reconciliation, email-based approvals, and manual re-keying that hold operations together but consume vast amounts of capacity.
Who is Ben Gallagher?
Ben Gallagher is the Founder of Gallag Works. After 15 years managing £15M+ multichannel contracts as operational lead within a 2,100-person content production agency, he founded Gallag Works to bring that methodology to leaders drowning in Human Middleware.
What results has Gallag Works delivered?
Proven outcomes include £1.5M+ in operational leakage recovered, 1,200 hours of annual capacity reclaimed, 98% reduction in manual processing effort, and 50%+ reduction in turnaround times.
How does the engagement process work?
Engagements follow three tiers: (1) Operational X-Ray (2–3 weeks) to diagnose friction; (2) Workflow Engineering (4–8 weeks) to re-engineer workflows; (3) Fractional AI Leadership (retainer-based) to embed strategic leadership at scale.
Does Gallag Works replace existing systems?
No. I am tool-agnostic and work within your existing technology stack, eliminating the manual workarounds that have grown up between your systems.
Is data kept secure during an engagement?
Yes. All engagements are InfoSec-aligned with enterprise-grade data handling. I work within your existing security frameworks.
Project Logs (Case Studies)
- GW-LOG-201: POS Job Workflow Automation — reporting cycle cut 70%, 15h/week reclaimed
- GW-LOG-202: Costing Process Re-engineering — missed deadlines down 85%, 10h/week saved
- GW-LOG-203: Validation Pipeline Automation — manual checking reduced 60%, 20h/week reclaimed
- GW-LOG-204: Multichannel Content Orchestration — 1,200 hours reclaimed annually, lead times halved
- GW-LOG-205: Enterprise Reporting Automation — 98% reduction in processing time, 360 hours reclaimed annually
- GW-LOG-206: High-Volume Allocation Logistics — 97% workload reduction, 10 hours → 15 minutes
Contact: hello@gallag.works · Book a Consultation