Manufacturing & Industrial
Predictive maintenance, reliability, and shop-floor process redesign for discrete and process manufacturing, automotive, and aerospace operations.
Operational clarity.
Quantifiable impact.
StratIQ helps small and medium businesses build real operational and process excellence, re-engineering fragmented, manual workflows into disciplined, measurable systems that scale, with automation and AI applied where they create genuine value.
The Cost of Disorder
Hidden friction is expensive.
Most operating losses never appear on a P&L line. They live between systems, between teams, and between intention and execution.
- Revenue leakageUnbilled work, pricing drift, and contract terms no one enforces.
- Disconnected teamsFive functions, five sources of truth, zero shared definitions.
- Failed transformationsPrograms that redesigned the org chart but not the work.
- Unmeasured AI initiativesPilots celebrated in demos, invisible in operating metrics.
What We Solve
We close the gap
large platforms leave open.
Most SMBs are told that serious AI and automation are reserved for enterprises with deep pockets and large technical teams. We exist to prove otherwise, replacing manual, fragmented, and reactive workflows with automated, AI-native systems.
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01
Close the AI capability gap
Give SMBs access to the same Generative AI automation and product expertise that powers large platforms, right-sized to their scale and budget.
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02
Eliminate manual drag
Replace repetitive, high-volume manual work like data extraction, cataloguing, tagging, and reporting with automated pipelines.
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03
Capture lost demand
Deploy conversational AI that engages customers, answers questions, and drives bookings and conversions around the clock.
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04
Build clean data foundations
Structure and enrich fragmented data so it can power discovery, decisions, and automation.
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05
Make transformation real
Bring disciplined product management so initiatives ship and deliver returns instead of stalling at the pilot stage.
Methodology
Diagnose. Design. Deliver.
One operating method, applied with discipline. Each phase produces evidence the next phase builds on. No recommendations without measurement, no delivery without ownership.
Objectives
- Establish a single, defensible baseline for cost, cycle time, and leakage
- Locate the five highest-value friction points across the operating model
- Isolate root causes: distinguishing data gaps from broken processes or misaligned incentives
Activities
- Process walk-throughs with the team who actually executes the process
- Transaction-level data forensics on revenue, billing, and handoffs
- Systems and integration audit across the tool stack
Outcomes
- A quantified friction map, priced in currency rather than opinion
- Prioritised intervention portfolio with effort and payback estimates
- Executive alignment on what will, and won't, be fixed
A self-contained engagement, scoped and priced to fit. The diagnostic stands alone, and many clients stop there with a complete roadmap.
Objectives
- Redesign target workflows end-to-end, including the exceptions
- Define where AI and automation add value to the flow
- Set the measurement system before a single change ships
Activities
- Future-state process architecture with owners and control points
- AI use-case engineering: data readiness, model selection, guardrails
- Business case modelling tied to the diagnostic baseline
Outcomes
- Implementable blueprints signed off by operators
- An instrumented metrics layer for every intervention
- Sequenced delivery plan with quantified value at each gate
Designed with your operators in the room. If the people running the process don't believe it, we redesign it.
Objectives
- Ship interventions into live operations, not a parallel pilot lane
- Prove impact against the baseline within the first 90 days
- Transfer ownership so improvements survive our exit
Activities
- Sprint-based delivery embedded with client teams
- AI deployment with evaluation harnesses and human escalation paths
- Weekly value tracking reviewed with the executive sponsor
Outcomes
- Measured impact, reconciled to finance, not self-reported
- Internal capability to run, tune, and extend what we built
- A closed loop: every outcome traceable to a diagnostic finding
Shipped into live operations, measured against the diagnostic baseline, and handed to your team to run and extend.
Solutions
Four disciplines.
One operating system.
Each practice is led by a partner who has run it in the field. They share one diagnostic spine, so findings in one discipline compound the others.
What we do
- Standardise processes into a connected, navigable hierarchy
- Ground models in real execution data, not theory
- De-risk SAP and ERP transformations
- Map processes to the application landscape
How we work
- Rigorous BPMN 2.0 modelling
- Process mining on live event logs
- Conformance-checked future-state design
Deliverables
- Data-validated process libraries
- Application & capability maps
- Fit-gap and transformation roadmaps
Tools we use
SAP SignavioCelonis
ARISLeanIX
BIC Process Design
What we do
- Surface hidden process and automation gaps across departments
- Untangle billing and collections pipelines to stop leakage
- Reconcile contract terms to invoices
- Manage compliance and vendor disputes as you scale
How we work
- Forensic reconciliation at transaction grain
- Enforcement built into existing systems
- SLA and third-party spend audits
Deliverables
- Quote-to-cash leakage view
- Connected operational workflows
- Compliance and vendor controls
Domains
FinTechBilling & Collections
Public PolicyLegal
HR Ops
What we do
- Automate document extraction, cataloguing, tagging, and reporting
- Ship conversational discovery and support assistants
- Build clean, structured data and content foundations
- Bring product discipline so AI ships, not stalls
How we work
- Define the operating metric before the first prompt
- Offline evaluation, then shadow mode, then staged rollout
- Humans own the low-confidence tail
Deliverables
- Generative AI automation pipelines
- Discovery chatbots and voice agents
- Multimodal content and enrichment tooling
Tools we use
Large language modelsRetrieval
OCR & extractionEvaluation harnesses
What we do
- Stand up predictive maintenance and reliability programs
- Architect Industrial IoT and condition-monitoring
- Benchmark performance across sites
- Rationalise spares and manage obsolescence
How we work
- Start from a criticality-weighted asset register
- Validate models with maintenance crews
- Route alerts into existing work-order systems
Deliverables
- Asset criticality rankings and digital twins
- Condition-monitoring architecture
- Cross-site OEE benchmarking
Tools we use
IBM MaximoSAP Global EAM
IIoT / SCADAFMEA / RCA
Where We Operate
Built for operationally
intense businesses.
Financial Services & FinTech
Revenue assurance, reconciliation, and billing and collections workflows that scale with transaction volume rather than headcount.
Retail & E-commerce
AI-native automation across cataloguing, enrichment, and customer experience, plus the operational backbone behind it.
Hospitality & F&B
Conversational discovery, demand capture, and back-of-house workflow design for high-volume, multi-location operators.
Healthcare & Pharma
Document and data infrastructure, extraction, and reliability engineering in regulated, evidence-driven environments.
Logistics & Distribution
Operating-model and asset-intelligence redesign for networks where handoffs, uptime, and throughput define the margin.
Get in touch
Request a
Discovery Call.
Thirty minutes with a StratIQ partner. We review your context upfront, allowing us to spend the call directly assessing your operational bottlenecks.
- No deck, no pitch, just a working session about your current workflows
- We'll tell you honestly if we're not the right fit
- Response within one business day