Build the warehouse, put AI on it, automate it, run it
Four practices that cover the whole life of an enterprise data platform. Hire us for one, or let one team take you from a legacy warehouse to agents in production.
Data warehousing
Most warehouse projects fail in the details: the BTEQ script nobody documented, the workload rule that kept month-end alive, the query that only performs because of how the table was distributed. Our consultants spent years administering and tuning those systems, so we know where the details are.
Call us when
- Your Teradata or Oracle renewal is coming up and the cloud numbers look better.
- Loads finish later every month and nobody can say which queries are to blame.
- Two dashboards give two different answers to the same question.
Assessment and roadmap
An inventory of objects, workloads, dependencies and cost, with a phased plan and a realistic business case.
Legacy warehouse migration
Schema, code and data conversion to Snowflake, Databricks or Fabric, reconciled automatically at every step, with a parallel run before cutover.
Architecture and modeling
Lakehouse and warehouse design, dimensional and data vault models, with security, governance and cost controls from day one.
Data integration
Batch and streaming pipelines, ELT with dbt, orchestration, and source-to-target mapping done properly.
Performance and query tuning
Certified engineers find and rewrite the expensive queries, then keep tuning as workloads change.
BI and reporting
Power BI, Tableau and embedded analytics on governed metrics, so every report agrees with every other.
Testing and validation
Automated data quality checks, regression suites and reconciliation built into every release.
What you get
A warehouse that reconciles, performs and costs what you expected.
AI
AI is only as good as the data underneath it. We treat it as engineering: governed inputs, answers you can trace back to a table, and results measured against a baseline before anyone calls it a success.
Call us when
- Leadership wants an AI plan and your data is not ready for one.
- A pilot worked in a notebook and stalled before production.
- Analysts spend their days answering questions the warehouse could answer directly.
AI-ready data foundations
Clean, well-described data with the lineage, access controls and semantic layer an AI system needs before it can be trusted.
Assistants over your warehouse and documents
People ask questions in plain language. Answers cite the tables and documents they came from, and respect existing permissions.
Machine learning and forecasting
Demand, churn, risk and anomaly models, deployed and monitored in production rather than left in a notebook.
Evaluation and monitoring
We test answers against known results before launch, and keep measuring accuracy, cost and drift afterwards.
What you get
AI that answers from your data, shows its sources and runs in production.
Agentic automation
An agent is software that can read a situation, decide what to do next and use your tools to do it. That is useful only when it is safe. Every agent we build has explicit permissions, an approval step for anything that changes data, and a complete record of what it did and why.
Call us when
- Your on-call team is woken by the same five failures every month.
- Skilled people spend their week copying data between systems.
- You have seen an agent demo and cannot see how to make it safe.
Operations agents
Triage failed loads, trace slow queries, check capacity and draft the fix with evidence attached, ready for an engineer to approve.
Business process agents
Reconciliations, recurring report packs and data requests handled end to end, replacing spreadsheets and email chains.
Guardrails and approvals
Scoped permissions, change limits, human sign-off where you require it, and a full audit trail of every action.
Integration with your tools
Agents work through your scheduler, ticketing and chat tools, so nothing happens outside the processes you already audit.
Agent evaluation
Every run is logged, replayable and scored, so you can see how often the agent was right before you widen what it may do.
What you get
Routine work handled in minutes, with a person approving what matters.
- Reads
- Job logs, run history, query plans, tickets and documentation. Read access only, scoped to what the task needs.
- Proposes
- A specific fix with the evidence behind it, written so an engineer can judge it in a minute.
- Waits
- Anything that changes data or costs money stops for a person. You decide where that line sits.
- Records
- Every step, input and decision is logged and replayable, for your auditors and for our tuning.
Managed operations
Our consultants have run enterprise warehouse operations for companies across the Americas, Europe and the Middle East. You get a named team, clear SLAs, and reports that tell you what is happening before it becomes a problem.
Call us when
- You cannot hire or keep enough DBAs to cover nights and weekends.
- Incidents get fixed, but nobody has time to stop them recurring.
- Your cloud platform bill is growing faster than your data.
Database administration
Remote monitoring, backup and recovery, security and performance tuning by highly seasoned DBAs.
Warehouse and pipeline operations
Batch monitoring, failure recovery, release management and the day-to-day running of the warehouse.
Performance monitoring
Bottlenecks and poor processes found early, with weekly and monthly health reports and recommendations.
Capacity and cost planning
Monthly capacity reports for on-premises systems and spend optimization for cloud platforms.
Backup, archive and recovery
Design, scheduling, monitoring and troubleshooting of backup jobs, with recovery procedures that are actually tested.
System administration
A dedicated team for the operating systems and infrastructure underneath your data platform.
What you get
Loads that land on time, and a monthly report that says why.
Not sure which of these you need?
Most engagements start with a short assessment. In two to three weeks you have a clear picture of your platform, your options, and what each would cost.