
Retail analytics & launch intelligence
Embedded as data scientists to build retail analytics and product-launch intelligence. Slotted in fast, shipped a live pipeline.

ROI first. AI second.
Find the right opportunity. Build with AI, data and automation. Help your people make it part of everyday work.

An accounting team hand-keyed airway bills and reconciled them line by line against the cargo system. We built a pipeline that extracts, reconciles and cross-checks the lot, with a rule-based engine holding 97% accuracy.

Embedded as data scientists to build retail analytics and product-launch intelligence. Slotted in fast, shipped a live pipeline.

AI-driven analysis of customer-service operations, turning call and ticket data into decisions leaders can act on.

Automated marketing analytics and reporting, the discipline behind our own product, SMAQ.
Team experience spanning SME and enterprise projects, including work for Fortune 500 companies.
Anyone can rattle off GenAI, RAG, agentic. Buzzwords are cheap. What’s rare is translating them into your business needs, and putting a number on it before you commit a dollar.
Find the opportunities worth pursuing, with a practical plan your team can follow.
Review workflows, data, existing tools and constraints. Prioritize value and feasibility, with a scoped test where needed.
You receive: A workflow map, value baseline and prioritized roadmap.
Reduce avoidable delays and rework in documents, handoffs and reconciliation.
Connect extraction, business rules, source-system checks and exception review to the workflow you already run.
You receive: A working workflow, acceptance checks and handover.
Give your team consistent, dependable information for the decisions that matter.
Build data pipelines, shared metric definitions, quality checks and reporting tied to real decisions.
You receive: A reliable reporting workflow and clear metric definitions.
Find the right process, involve the right people and agree the right KPIs. Then build.
Map the current workflow, its bottleneck and baseline cost. Prioritize value and feasibility before choosing technology.
You receive: A workflow map and a prioritized opportunity list.
Work with process owners, users and technical stakeholders. Agree who confirms the need, checks the outputs and owns the solution after handover.
You receive: Clear responsibilities, adoption and handover plans.
Agree the baseline, target and acceptance checks before building. Include quality, review effort and adoption alongside time or cost where relevant.
You receive: A measurable definition of success and acceptance criteria.
An AI-guided workspace to understand one business problem, compare improvements and build a brief you can act on.
Free seven-day workspace. Start with your company email and website.
From a problem to a next step
Choose one piece of work worth improving.
Review a real case and how the work happens today.
Compare options, estimate benefits and choose a next step.
One opportunity brief, with assumptions and open questions kept visible.
We are a team of experts in AI, data, digital transformation and product development, with extensive experience across SME and enterprise projects, including work for Fortune 500 companies.
We connect business understanding with engineering depth. We work with your team to identify the right opportunities, build a practical transformation plan and deliver solutions that fit how your business operates.
From an SME’s first automation to an enterprise data or product initiative, our focus stays the same: a clear business objective, reliable delivery and outcomes you can measure.
No sign-up, no email wall. Put a number on what repetitive work is costing you, and what you’d get back by automating it, right here in the browser.
Start with free discovery. Plan the investment around the outcome, delivery effort and ongoing requirements.
Free
AI Discovery workspace or a 30-minute discovery call.
Clarify the problem and a possible next step.
Scoped engagement
Workflow mapping, a value baseline, KPIs and validation where needed.
Agree the deliverables, boundaries and fees before work starts.
Project proposal
Implementation, integration, acceptance checks, training and handover.
Scope the work around agreed requirements, dependencies and success measures.
Budget separately for one-time planning and delivery, and ongoing hosting, AI usage, software licenses, maintenance and support where applicable. Agree what is included, who pays each provider and any optional support scope before implementation.