Systems & Data Foundations
Architecture reviews, data-model design, telemetry clean-up, and workflow mapping to expose the real operational bottlenecks.
Services
Comprehensive systems, data, and AI delivery services for operators.
We diagnose bottlenecks, prototype fast, deploy into production, and continue operating the systems that run your business. Every engagement blends architecture, software, automation, and change management so you get measurable outcomes — not decks.
How we work
Execution over advice.
A service model designed for operators: find the constraint, build the system, embed it, then evolve it with your team.
AI-Driven Workflow Design
Rapid prototyping of automation concepts, copilots, and mixed AI/human handoffs embedded inside actual job contexts.
Deployment & Change
Hardening prototypes, deploying into production, training frontline teams, and instrumenting usage so the system sticks.
Specialized services
Everything required to run modern operations.
Modular offerings that can be engaged individually or combined into a comprehensive transformation program.
Operational analytics & reporting
- • Power BI, semantic models, metrics layers, alerting
- • Field + back-office reconciliation
- • Executive-ready packages for board/funding cycles
Workflow & low-code apps
- • Power Apps, custom portals, internal tools
- • Dispatch, construction, inspection, asset management
- • Role-aware interfaces tied to source-of-truth systems
AI agents & copilots
- • Classification, summarization, routing, decision support
- • Queue automation for tickets, cases, service requests
- • Guardrail design, retrieval layers, monitoring
Integrations & automation
- • APIs, middleware, dataflows, Master Data synchronization
- • ERP, GIS, CRM, financial, and field ops tooling
- • Event-driven pipelines with observability baked in
Platform operations
- • Environment strategy, DevOps pipelines, COE patterns
- • Licensing optimization, governance, documentation
- • Runbooks and on-call support for critical systems
Advisory + embedded teams
- • Fractional delivery leadership & solution architecture
- • Pairing with in-house IT/OT teams to accelerate execution
- • Capability playbooks, training, and hiring support
Delivery cadence
A four-phase execution loop.
Diagnosis sprint
Deep dive with stakeholders, data pulls, and workflow observation to clarify the true constraint.
- • 2–4 weeks
- • Prioritized bottleneck map
- • ROI and feasibility analysis
Prototype + prove
Rapid build of the smallest working system that demonstrates the desired outcome to operators.
- • 4–8 weeks
- • Hands-on pilots
- • Usage telemetry + iteration cycles
Deploy + embed
Production hardening, integrations, training, and change enablement so the system sticks.
- • 6–12 weeks
- • Runbooks & support plans
- • Adoption metrics
Operate + evolve
Support, enhancements, AI tuning, and roadmap execution to keep the system aligned with the business.
- • Monthly or quarterly
- • Embedded pod or managed service
- • Joint backlog management
Engagement models
Built for focus, embedded pods, or platform programs.
Focused build
Point solution or automation delivered end-to-end. Ideal when a single bottleneck needs immediate relief.
4–12 weeksFixed-scope
Embedded squad
Cross-functional pod that works inside your org for ongoing initiatives. Perfect for portfolios of workflows or AI programs.
Quarterly retainersCo-sourced delivery
Platform program
Longer-term partnership where GIDE designs the operating model, tooling, and capability uplift across teams.
6–18 monthsStrategy + execution
Shared-outcome pricing
We only win when you keep the savings.
For automation programs where the outcome is labor savings or capacity unlocked, we link our compensation to the validated savings. You redeploy the people, we share a portion of the proven upside for a limited term.
- • Savings defined together (salary, burden, overtime avoided, or new revenue capacity).
- • Verification cadence agreed during deployment, with transparent dashboards.
- • Typical share: 20–35% of measured savings for 18–30 months, with floors/caps.
- • Converts to standard support once the shared-outcome term ends.
Example
Role automation scenario
Field coordination team of 5 people at $90k loaded cost each ($450k/yr). After rollout, only 2 coordinators are needed. Verified savings: $270k/yr.
Savings retained by client $180k/yr (67%)
GIDE share $90k/yr (33%)
Share paid for 24 months, capped at $180k. After term, support shifts to fixed-rate managed service.
Upfront work (diagnosis sprint + prototype) can still be fixed-fee. Shared-outcome pricing activates once the automation delivers the agreed metrics.
Next step
Need a system to make strategy real?
Start with a working session focused on your top constraint. We'll outline the system, timeline, and working model in days — then build it with you.