Services

Analytics capabilities for every stage of maturity

Data engineering and business intelligence, AI analytics and agents, and managed analytics—delivered as one decision system.

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Capability map

Data Engineering & Business Intelligence

AI Analytics & Agents

Managed Analytics & Automation

Three practices

Data Engineering & Business Intelligence

Connect disconnected systems, model the business once, and give finance and operations reports they can reconcile.

AI Analytics & Agents

Ask questions of approved data, automate management commentary, and take a Claude or ChatGPT workflow into a controlled environment.

Managed Analytics & Automation

Keep reporting reliable after go-live: data quality, refresh monitoring, workflow maintenance, and improvements you agree in advance.

Managed analytics →

All capabilities

AI Analytics & Agents

Claude and ChatGPT workflows grounded in approved data, with calculations checked in the warehouse or semantic model and a person in the loop for consequential output.

What's included

·Natural-language analytics over approved datasets
·Conversational access to warehouses and semantic models
·Automated management commentary and variance notes
·Permissions, evaluation tests, and review workflows

Finance, operations, and leadership teams

Managed Analytics & Automation

Ongoing care for data quality, reporting reliability, workflow maintenance, and improvements you agree in advance. Often follows a diagnostic or an implementation.

What's included

·Monitoring for refresh failures and broken data checks
·Operation of recurring reports and automated workflows
·Maintenance when a source system or definition changes
·A prioritized queue of improvements

Teams with reporting already in production

Business Intelligence

Executive and operational dashboards aligned to how your business actually makes decisions.

What's included

·Custom dashboard design & development
·KPI framework alignment
·Executive & operational reporting layers

Ops, Finance & Executive teams

Data Engineering

Reliable pipelines and modern warehouses that make analytics trustworthy at scale.

What's included

·Source system integration & pipeline build
·Data warehouse / lakehouse architecture
·Data quality monitoring & alerting

Data & Engineering teams

Analytics Modernization

Migrate legacy BI and reporting stacks without disrupting business operations.

What's included

·Legacy BI stack audit & migration roadmap
·Parallel run & cutover strategy
·Platform consolidation (Power BI, Spotfire, or cloud-native)

Teams migrating from Excel, Crystal Reports, or legacy BI tools

AI-powered Analytics

Natural language access and intelligent summaries built on trusted data foundations.

What's included

·Natural language query layer over your data
·Intelligent anomaly detection & alerts
·Automated narrative summaries for exec reporting

Teams with clean data wanting AI narrative layers

Agentic AI & Autonomous Analytics

AI agents that query your data, surface anomalies, and deliver narrative summaries - without manual reporting workflows.

What's included

·End-to-end agentic pipeline architecture
·Autonomous data monitoring agents
·LLM integration with production-grade guardrails

Enterprises automating reporting & monitoring workflows

How to engage

Start with a question, a build, or the system you already run.

Scope is agreed before work starts. These are ways to engage, not packaged prices or response-time guarantees.

Analytics & AI Diagnostic

A fixed-scope assessment of business data, reporting processes, and the AI uses worth taking further.

Data and reporting assessment
High-value automation opportunities
Technical feasibility and risk review
Prioritized implementation roadmap

Analytics & AI Implementation

A defined project to connect data, implement a governed analytical workflow, and deliver the reporting or conversational layer you agreed.

Connected sources and a reconcilable model
Dashboards, reporting automation, or conversational analytics
Validation of the calculations that matter
Handover your team can operate

Managed Analytics & AI

An ongoing engagement for data quality, reporting reliability, workflow maintenance, monitoring, and agreed improvements.

Refresh and data-quality monitoring
Recurring report and workflow maintenance
Review of exceptions you choose to watch
A backlog of improvements, agreed with you

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Book a consultation

Start with a discovery call

Not sure which service fits your stage?

We scope every engagement from first principles - tell us your data challenge and we'll recommend the right starting point.

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