01
Design work is trapped in spreadsheets
Years of engineering judgement encoded in a file that only its author fully understands and that cannot be reviewed or compared.
Industry
Agritech & Industrial
Agriculture, irrigation and industrial operations where critical design work still lives in personal spreadsheets, which makes it hard to review, hard to compare and dependent on one experienced person.
- Sector
- Agritech & industrial
- Projects delivered
- 1 systems
- Pressures
- 4 core constraints
- Capabilities
- 3 disciplines
Sector Delivery Scope
4 Specialized Systems
Featured Sector Deployment
Oxygen
Pivot irrigation management
Egypt● Live Platform
Architectural Modules
- Engineering configuration tools
- Coverage and distribution calculation
- Asset and field records
Operational Constraints
What makes agritech & industrial hard.
Turn engineering spreadsheets into systems
02
Dependency on individuals
When the design logic exists only in one person's spreadsheet, that person is a single point of failure for the whole operation.
03
Physical constraints are unforgiving
Coverage overlaps, flow rates and specifications have real consequences, so the model has to reflect the physical system, not an approximation.
04
Field conditions, office software
Outputs have to be usable in the field and on site, not only at a desk with a large monitor.
Architecture & Systems
The systems that answer those pressures.
System 01PRODUCTION SCOPE
Engineering configuration tools
Systems modelled the way the engineer thinks about them — components, assemblies and calculated outputs.
System 02PRODUCTION SCOPE
Coverage and distribution calculation
Computation driven from real configuration rather than lookup tables, with reviewable outputs.
System 03PRODUCTION SCOPE
Asset and field records
Structured records of pivots, spans, equipment and sites that survive staff changes.
System 04PRODUCTION SCOPE
Specification outputs
Reports and specifications generated from the model so design documents cannot drift from the calculation.
Method
Five phases, adapted to the sector's risk.
- 01
Phase 01: Diagnose
1 — 2 weeksWe look at the actual system, the actual data and the actual workflow before proposing anything. Output is a written assessment: where the constraint really is, what it costs you today, and the options ranked by cost and risk.
Outputs
4 deliverables- Technical and process assessment
- Constraint identified and quantified
- Options with cost, timeline and risk
- A recommendation we are willing to defend
- 02
Phase 02: Architect
1 — 3 weeksDomain model, route and data architecture, integration boundaries and non-functional requirements agreed in writing. This is the cheapest place to be wrong, so we spend the time here rather than discovering it in month four.
Outputs
4 deliverables- Domain and data model
- Architecture decision record
- Integration and API contracts
- Performance budget and acceptance criteria
- 03
Phase 03: Build
4 — 16 weeksTwo-week cycles against a live environment you can open at any time. No screenshot theatre — you review working software with realistic data, and priorities can be reordered between cycles.
Outputs
4 deliverables- Working software every two weeks
- Live staging environment from week one
- Cycle reviews with a written summary
- Visible backlog with priority agreed with you
- 04
Phase 04: Harden
1 — 3 weeksThe unglamorous work that decides whether launch is calm: permissions reviewed, error paths exercised, performance measured against the budget, migrations rehearsed and reversed.
Outputs
4 deliverables- Security and permission review
- Performance and load verification
- Migration rehearsal with rollback
- Monitoring, alerting and error tracking
- 05
Phase 05: Operate
OngoingLaunch is a checkpoint, not an ending. Under a retainer we watch real traffic, fix what the data exposes, and keep shipping the next increment of value.
Outputs
4 deliverables- Production monitoring and incident response
- Iteration on measured behaviour
- Documentation kept current
- Handover to your team whenever you choose