TOUCHSTONE DATA
Services

Nine ways to raise the standard.

Govern what you have. Build what comes next. Every engagement is led and delivered by a senior architect, with a free 30-minute call to start.

01 · Govern

Data Governance Consulting & Auditing

We assess where your data governance program stands today, identify the gaps and risks, and build a roadmap to close them, from classification and lineage mapping to policy and stewardship design.

What's included

  • Maturity assessment across five dimensions: strategy, organization, processes, technology, culture
  • Data classification framework design
  • Data lineage mapping and documentation
  • Governance policy development: quality, access, retention, privacy
  • RACI matrix for data stewardship roles
  • Prioritized implementation roadmap and an executive-ready findings report

Who it's for

Organizations that know their governance is insufficient but need expert guidance on the gaps. Common triggers: an upcoming audit, a regulatory inquiry, data quality incidents, M&A due diligence, or a new CDO establishing a program.

Typical buyers: Chief Data Officer, VP of Data, Head of Compliance, CIO

Most clients start here

Data Governance Maturity Assessment

From $15,000 · 2-6 weeks

Assessments from $15,000. Implementation support from $20,000/month. Ongoing advisory from $5,000/month.

How it works

  1. 01Discovery call, 30 minutes and free
  2. 02Scoping session, 1-2 hours, then proposal and SOW within a week
  3. 03Kickoff: stakeholder interviews and artifact collection
  4. 04Analysis and deliverable development, 2-6 weeks depending on scope
  5. 05Findings presentation, roadmap delivery, and 30-day follow-up
Discuss this engagement
02 · Govern

Data Catalog & Metadata Platform (DataHub)

We plan and implement DataHub, self-hosted or DataHub Cloud, so your teams can find data, see where it comes from, and know who owns it: ingestion from your warehouses, pipelines, and BI tools, lineage, a business glossary, ownership, and access control. Touchstone Data is independent and not affiliated with the DataHub project or the company behind DataHub Cloud.

What's included

  • Readiness review: sources, use cases, and the metadata model to start with
  • Deployment plan: self-hosted on AWS or Azure, or DataHub Cloud, with sizing and security
  • Metadata ingestion from warehouses, databases, pipelines, and BI tools
  • Lineage, ownership, domains, and business glossary design
  • Access policies, single sign-on, and audit settings
  • An adoption plan: who maintains which metadata, and how it stays current

Who it's for

Teams that have chosen DataHub or are deciding whether it fits, and teams whose catalog was set up but is not trusted or used. Common triggers: a data platform migration, an audit that asks for lineage, AI agents that need metadata context, or a catalog that went stale.

Typical buyers: Chief Data Officer, VP or Head of Data, Data Platform Lead, Head of Data Governance

Most clients start here

DataHub Readiness Review

From $10,000 · 2-3 weeks

DataHub Readiness Reviews from $10,000. Implementation and advisory support from $5,000/month.

How it works

  1. 01Discovery call, 30 minutes and free
  2. 02Readiness review, 2-3 weeks: sources, use cases, architecture, and a phased plan
  3. 03Proposal and SOW for implementation, if you want help with it
  4. 04Implementation in phases, starting with one domain and its core sources
  5. 05Handover: runbooks and an ownership model, with monthly advisory as needed
Discuss this engagement

See it working

03 · Govern

AI Governance & Compliance

We design and implement AI governance frameworks that satisfy the EU AI Act, align with the NIST AI RMF, and address emerging U.S. state regulations, covering risk classification, bias testing, documentation, and human oversight.

What's included

  • AI system inventory and classification by EU AI Act risk tier
  • Risk assessment for each AI system
  • Bias and fairness testing methodology
  • Model documentation standards and templates
  • Human oversight design for high-risk AI systems
  • Compliance gap analysis, operating model design, and a post-market monitoring plan

Who it's for

Organizations deploying AI/ML systems that face regulatory requirements or want to manage AI risk proactively, especially companies that ship an AI feature or use AI internally and now face a customer's AI questionnaire, an investor's questions, or their first EU customer.

Typical buyers: Chief AI Officer, Chief Compliance Officer, VP of Engineering, General Counsel

Most clients start here

EU AI Act Readiness Assessment

From $20,000 · 4-8 weeks

EU AI Act readiness assessments from $20,000. Full governance framework design from $30,000. Ongoing compliance advisory from $7,500/month.

How it works

  1. 01Discovery call, 30 minutes and free
  2. 02AI system inventory workshop, half a day, to catalog existing systems
  3. 03Scoping session, then proposal and SOW
  4. 04Risk assessment and compliance gap analysis, 4-8 weeks
  5. 05Framework design and documentation, 4-8 weeks, then implementation support as needed
Discuss this engagement
04 · Govern

Data Strategy & Roadmap

We help you define a data strategy that connects business objectives to technical capabilities and survives contact with reality, from executive workshops to full strategy development.

What's included

  • Stakeholder interviews across business and technology leadership
  • Current-state data capability assessment
  • Data architecture vision and target state design
  • Governance program design integrated with the strategy
  • Analytics and AI capability roadmap, and a data culture development plan
  • Gap analysis and prioritized plan, documented for board presentation and budget planning

Who it's for

Organizations that know they need to do something with data but lack a cohesive strategy, teams whose strategy has gone stale, a new CDO who needs to establish a program, and executives preparing for a board-level data and AI discussion.

Typical buyers: CDO, CIO, CEO (mid-size companies), VP of Data

Most clients start here

Data Strategy Workshop

From $5,000 · 1-2 days

Workshops from $5,000 (1-2 days). Full strategy and roadmap from $25,000. Quarterly strategic reviews from $5,000/quarter.

How it works

  1. 01Discovery call, 30 minutes and free
  2. 02Strategy workshop, a 1-2 day intensive that can be a standalone engagement
  3. 03Stakeholder interview series
  4. 04Current-state assessment and gap analysis
  5. 05Strategy and roadmap development, 6-10 weeks
  6. 06Executive presentation, then optional quarterly strategic reviews
Discuss this engagement
05 · Build

Software Architecture Review & Modernization

We assess your existing systems, quantify technical debt, identify architectural risks, and build a prioritized modernization roadmap, whether you are weighing microservices, cloud migration, or API redesign.

What's included

  • Codebase analysis and architecture documentation
  • Technical debt quantified by velocity impact, incident cost, and compliance risk
  • Architecture risk assessment and Architecture Decision Records for key decisions
  • Microservices decomposition strategy and API design review, where applicable
  • Database architecture assessment and cloud migration readiness
  • Prioritized modernization roadmap with cost-benefit analysis

Who it's for

Organizations carrying significant technical debt, facing scalability challenges, or preparing for a major platform investment, including private equity portfolio companies conducting technology due diligence.

Typical buyers: CTO, VP of Engineering, Director of Platform Engineering

Most clients start here

Software Architecture Review

From $10,000 · 2-4 weeks

Architecture reviews from $10,000. Modernization roadmaps from $20,000. Hourly advisory at $275/hr.

How it works

  1. 01Discovery call, 30 minutes and free
  2. 02Codebase access and architecture documentation review
  3. 03Stakeholder interviews with engineering leads and product managers
  4. 04Technical analysis, agent-assisted for pattern identification
  5. 05Findings and roadmap, 2-4 weeks for review and 4-8 weeks for a full roadmap
  6. 06Presentation and Q&A with engineering leadership
Discuss this engagement
06 · Build

Data Quality & Observability

We design and implement quality monitoring and observability pipelines that catch data issues before they reach your business. Tool-agnostic: we work with your stack and recommend based on your needs, not vendor partnerships.

What's included

  • Data quality assessment across key assets
  • Rule authoring: schema validation, statistical profiling, business rules, cross-dataset consistency
  • Quality SLAs for critical data assets
  • Anomaly detection pipeline design
  • Observability dashboards, alerting, and escalation workflows
  • Tool evaluation across Great Expectations, Monte Carlo, Soda, dbt tests, and custom options, with knowledge transfer

Who it's for

Organizations that have invested in data lakes, warehouses, and pipelines but are not confident in the quality of the data flowing through them, or that face incidents affecting analytics, reporting, or AI model performance.

Typical buyers: Head of Data Engineering, Chief Data Officer, VP of Analytics

Most clients start here

Data Quality Assessment

From $10,000 · Scoped per engagement

Assessments from $10,000. Observability platform implementation from $25,000. Ongoing monitoring from $5,000/month.

How it works

  1. 01Discovery call, 30 minutes and free
  2. 02Data quality assessment: highest-risk assets and monitoring gaps
  3. 03Rule design and SLA definition in workshops with data producers and consumers
  4. 04Implementation: observability pipeline, dashboards, alerting
  5. 05Knowledge transfer and documentation, then an optional monitoring retainer
Discuss this engagement
07 · Build

Cloud Infrastructure & Architecture (AWS, Azure and Google Cloud)

We review how your cloud environment is built and run on AWS, Azure, Google Cloud, or a mix, then deliver a prioritized plan covering identity, network design, managed Kubernetes, governance guardrails, cost, security posture, resilience, and infrastructure-as-code.

What's included

  • Identity and access review: roles, least privilege, and privileged access
  • Landing zone and network design: accounts, subscriptions or projects, hub-and-spoke segmentation, private connectivity and DNS
  • Governance guardrails: Azure Policy and management groups, AWS Organizations and service control policies, or Google Cloud organization policies
  • Managed Kubernetes review (AKS, EKS, GKE): cluster design, access, upgrades, and cost
  • Cost review (FinOps): waste, commitments, tagging, and budget alerts
  • Security posture and resilience: logging, encryption, backup, and disaster recovery
  • Infrastructure-as-code assessment (Terraform, Bicep, CloudFormation) and a prioritized roadmap

Who it's for

Organizations running on AWS, Azure, or Google Cloud whose environment grew faster than its guardrails: rising bills, unclear ownership, audit findings, or a planned migration, and companies that need the same standards across more than one cloud.

Typical buyers: CTO, VP of Engineering, Head of Cloud or Platform, CFO (cloud spend)

Most clients start here

Cloud Landing Zone & Cost/Security Review

From $10,000 · 2-3 weeks

Landing zone and cost/security reviews from $10,000. Cloud platform roadmaps from $20,000. Hourly advisory at $275/hr.

How it works

  1. 01Discovery call, 30 minutes and free
  2. 02Read-only access setup and architecture documentation review
  3. 03Stakeholder interviews with platform, security, and finance leads
  4. 04Assessment against cloud well-architected practices, 2-3 weeks
  5. 05Findings, roadmap, and a prioritization workshop with engineering leadership
Discuss this engagement

See it working

08 · Build

DevOps & Platform Engineering

We assess CI/CD pipelines, GitOps and Kubernetes platforms, infrastructure-as-code, your observability stack, and developer experience against DORA metrics, then build a roadmap to ship more often, recover faster, and break less.

What's included

  • DevOps maturity assessment using the DORA metrics framework
  • CI/CD and GitOps review: build once, scan, sign, and promote by digest; Argo CD or Flux
  • Kubernetes platform engineering: team onboarding, policy guardrails, and golden-path templates
  • Infrastructure-as-code assessment and best practices
  • Observability stack evaluation: logging, metrics, tracing
  • Developer experience audit: build times, deployment friction, tool sprawl
  • Incident response process design and an internal developer platform roadmap

Who it's for

Engineering organizations where deployments are painful, incident response is ad hoc, and developers spend too much time fighting tooling instead of building features.

Typical buyers: VP of Engineering, Director of DevOps or Platform, CTO

Most clients start here

DevOps Maturity Assessment

From $10,000 · 2-3 weeks

Maturity assessments from $10,000. Platform engineering strategy from $20,000. Hourly implementation support at $250/hr.

How it works

  1. 01Discovery call, 30 minutes and free
  2. 02DORA metrics baseline measurement
  3. 03Stakeholder interviews with engineering leads, SREs, and developers
  4. 04Assessment and recommendations, 2-3 weeks
  5. 05Roadmap delivery and prioritization workshop, then optional hands-on support
Discuss this engagement
09 · Build

Agentic AI Development

We design and build autonomous AI agent systems for your business processes using dark factory principles. This is not chatbot development: it is AI that executes complex workflows, validated through scenario-based testing and deployed with monitoring and governance.

What's included

  • Agent architecture design: workflow versus agent patterns and orchestration strategy
  • Scenario definition and validation harness development
  • Digital Twin Universe: behavioral clones of external services for testing
  • Agent system development and iterative refinement
  • Convergence-driven quality assurance with LLM-as-judge satisfaction scoring
  • Production deployment with monitoring and alerting, runbooks, and knowledge transfer

Who it's for

Organizations that want to automate complex, multi-step business processes with AI agents, with governance, testing, and monitoring built in from the start, and that have moved beyond simple prototypes.

Typical buyers: CTO, VP of Engineering, Chief AI Officer, Head of Innovation

Most clients start here

Agentic AI Discovery & Architecture

From $15,000 · 3-6 weeks

Discovery and architecture from $15,000. Agent system development from $40,000. Ongoing support from $7,500/month.

How it works

  1. 01Discovery call, 30 minutes and free
  2. 02Discovery and architecture, 3-6 weeks: the agent's purpose, scenarios, and success criteria
  3. 03Development, 8-20 weeks: iterative build with scenario validation
  4. 04Deployment and monitoring setup
  5. 05Knowledge transfer and documentation, then an optional support retainer
Discuss this engagement

Ready to raise the standard?

Book a free 30-minute discovery call. An honest conversation about your situation and whether Touchstone Data is the right fit. No preparation needed.

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