The complete service atlas

One partner for better data systems, decisions, and careers.

Business intelligence, applied AI, data foundations, web applications, content operations, digital products, and enablement—presented in one place and shaped around practical progress.

01 / 06

Business intelligence

Business intelligence and semantic modeling

One governed view of the business—from source data to the decisions people make every day.

Turn fragmented reporting into a governed decision system with reliable Power BI models, trusted KPIs, and fast executive dashboards.

What we can deliver

  1. 01Executive decision hubs and operational Power BI applications
  2. 02Tabular semantic models with reusable measures and role-based access
  3. 03DAX, refresh, relationship, and report-performance optimization
  4. 04KPI dictionaries, ownership rules, release controls, and model documentation

What should improve

  • A shared version of performance that finance, operations, and leadership can reconcile
  • Faster reports and cleaner models that analysts can extend without rebuilding logic
  • Executive dashboards organised around decisions, exceptions, and accountable owners

Typical stack

  • Power BI
  • DAX
  • Tabular Editor
  • Microsoft Fabric
  • Azure
  • SQL
  • Power Query
Discuss this service
02 / 06

Applied AI

AI consulting services

AI designed around real work, approved knowledge, measurable quality, and clear human control.

Design and deploy production AI systems that automate real work, use governed business knowledge, and remain measurable after launch.

01

AI strategy & readiness

Assess where AI can create value, prioritize feasible use cases, and turn scattered ideas into a sequenced roadmap with clear ownership.

  • AI readiness assessment across data, processes, people, and technology
  • Use-case discovery and value, feasibility, and risk prioritization
02

AI automation & workflows

Redesign repetitive document, data, and decision processes as controlled AI-assisted workflows that fit existing business operations.

  • Workflow discovery, process mapping, and automation opportunity assessment
  • Document intake, extraction, classification, validation, and routing
03

Generative AI & LLMs

Design useful assistants, retrieval systems, and generative AI applications around approved knowledge, measurable behavior, and business review.

  • Internal assistants, copilots, and task-specific generative AI applications
  • Retrieval-augmented generation and enterprise search over approved content
04

Predictive analytics & ML

Develop forecasting, classification, scoring, and segmentation models that connect analytical evidence to an operational decision.

  • Time-series forecasting and scenario analysis
  • Classification, risk, propensity, and prioritization models
05

AI governance & adoption

Create the policies, roles, controls, learning, and review practices needed to use AI responsibly and turn approved tools into everyday capability.

  • AI system and use-case inventory with business-focused risk categorization
  • Responsible-use policies, standards, approval paths, and practical guardrails
06

MLOps & model monitoring

Move machine learning and LLM workflows into maintainable operation with versioning, deployment, evaluation, monitoring, and clear ownership.

  • Deployment architecture, environments, version control, and release workflows
  • Automated validation, evaluation, testing, and approval gates
07

AI & business intelligence

Add metric-grounded commentary, natural-language access, and reviewable AI assistance to governed business intelligence workflows.

  • Integration with existing governed semantic models, KPI definitions, and reporting controls
  • Automated narrative commentary, summaries, and management-report drafting

International delivery

AI consulting for organizations worldwide

Senior-led delivery for international organizations, adapted to their operating environment, governance requirements, and adoption realities.

Discuss an AI project
03 / 06

Data foundations

Data strategy and cloud foundations

A reliable path from operational systems to trusted analytics, AI, and accountable ownership.

Create the governed cloud data foundation that makes reporting, analytics, and AI trustworthy enough to scale.

What we can deliver

  1. 01Target-state cloud architecture across Snowflake, BigQuery, Fabric, Databricks, or Azure
  2. 02Ingestion, transformation, warehouse or lakehouse, and semantic-layer design
  3. 03Data contracts, quality tests, cataloguing, lineage, and observability standards
  4. 04Role-based access, GDPR-aware controls, retention rules, and governance workflows
  5. 05Ownership maps, stewardship playbooks, and decision-ready implementation roadmaps

What should improve

  • A sequenced target architecture aligned to the decisions and workloads the business needs
  • A single governed route from operational sources to metrics, dashboards, and AI systems
  • Clear accountability for critical data products, definitions, access, and quality incidents

Typical stack

  • Snowflake
  • BigQuery
  • Microsoft Fabric
  • Databricks
  • Azure
  • dbt
  • SQL
Discuss this service
04 / 06

Web apps & search visibility

Web development and search visibility

Fast, focused websites and applications engineered for performance, conversion, and discoverability across search engines, answer features, and AI-powered experiences.

Build fast, accessible websites and bespoke web applications with the technical foundations, content structure, and measurement needed for visibility across Google Search and AI answer surfaces.

What we can deliver

  1. 01Corporate websites and custom web apps built for speed, accessibility, and qualified conversion
  2. 02Technical SEO, site architecture, performance optimization, and Schema.org structured data that matches visible content
  3. 03Search engine optimization (SEO), answer engine optimization (AEO), and generative engine optimization (GEO) foundations for organic discovery
  4. 04Entity, authorship, and evidence signals that improve readiness for search features and AI-generated answers
  5. 05Customer portals, booking flows, operational tools, consent-aware analytics, CRM links, and API integrations

What should improve

  • A clearer value proposition and shorter path from first visit to qualified enquiry
  • Stronger technical eligibility for crawling, indexing, and organic discovery
  • Clearer service, expertise, and entity signals for search and AI answer surfaces

Typical stack

  • Next.js
  • React
  • TypeScript
  • Node.js
  • PostgreSQL
  • Semantic HTML & SSR
  • Technical SEO
  • Schema.org
  • Search analytics
  • Cloud
Discuss this service
05 / 06

Content systems

Digital products and content operations

A repeatable operating system for turning expertise into coordinated content, useful assets, and measurable digital products.

Build AI-assisted systems that turn long-form expertise into approved content, coordinated distribution, and sellable digital products.

What we can deliver

  1. 01Repurposing systems that turn long-form audio or video into approved short-form assets, articles, newsletters, and campaigns
  2. 02Content intake, transcription, editorial calendars, review gates, asset libraries, and publishing workflows
  3. 03Coordinated distribution across owned channels with campaign tracking and performance dashboards
  4. 04Specialized template libraries, prompt and data packs, knowledge products, and domain-specific digital marketplaces
  5. 05Membership, access, payments, fulfillment, licensing, and product-analytics workflows

What should improve

  • One authoritative long-form asset becomes a coordinated campaign without rebuilding every format manually
  • A consistent production rhythm with named owners, review standards, and fewer handoff delays
  • Reusable knowledge assets that can support lead generation, customer education, or direct revenue

Typical stack

  • OpenAI
  • Notion
  • Airtable
  • n8n
  • Make
  • CMS
  • Product analytics
Discuss this service
06 / 06

Capability development

Data and AI enablement and mentorship

Practical enablement that helps individuals and teams build stronger skills, judgment, adoption, and evidence of progress.

Develop individual and team capability through role-based workshops, practical training, one-to-one mentorship, project guidance, and adoption support.

What we can deliver

  1. 01Role-based data and AI literacy workshops for executives, managers, analysts, and operational teams
  2. 02Practical team training across Power BI, analytics, SQL, AI workflows, governance, and responsible adoption
  3. 03One-to-one mentorship for entry-level candidates and professionals progressing toward senior, consulting, or leadership roles
  4. 04Hands-on guidance for workplace initiatives, portfolio projects, technical decisions, and documentation
  5. 05Internal playbooks, office hours, adoption support, and progress reviews that help new capability become normal practice

What should improve

  • A focused learning path based on real roles, workflows, and current capability instead of a generic course catalogue
  • Stronger practical judgment developed through work participants can explain, defend, and improve
  • Better adoption of approved data and AI tools through shared standards, examples, and support

Typical stack

  • Power BI
  • SQL
  • Python
  • Excel
  • Git & GitHub
  • AI workflows
Discuss mentorship

Ways to work together

Choose the level of support the work actually needs.

01

Diagnostic or roadmap sprint

Clarify the current state, priority decisions, delivery risks, and the most valuable next move.

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02

Implementation project

Design, build, validate, and hand over a complete solution around a defined operational outcome.

Discuss this option

03

Fractional data and AI leadership

Add senior direction for roadmaps, architecture, vendors, governance, investment, and executive decisions.

Discuss this option

04

Managed operations and support

Keep dashboards, data workflows, and AI systems reliable through monitoring, releases, support, and optimization.

Discuss this option

05

Team enablement or mentorship

Build lasting capability through role-based workshops, office hours, practical training, or one-to-one guidance.

Discuss this option

Not sure where your need belongs?

Tell us what should become clearer, faster, stronger, or easier to use.

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