Services

Data governance, AI governance, software architecture, and agentic AI development consulting for mid-size and enterprise organizations. Every engagement is delivered by a senior architect, accelerated by autonomous AI agents, and validated against your specific requirements.

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 data classification and lineage mapping to policy development and stewardship program design, we cover the full scope of data governance.

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

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

What's Included

  • Data governance maturity assessment across five dimensions (strategy, organization, processes, technology, culture)
  • Data classification framework design
  • Data lineage mapping and documentation
  • Governance policy development (data quality, access, retention, privacy)
  • RACI matrix for data stewardship roles
  • Data catalog requirements and vendor evaluation
  • Prioritized implementation roadmap
  • Executive-ready findings report

Who It's For

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

Engagement Process

  1. 1Discovery call (30 minutes, free) -- understand your situation and assess fit
  2. 2Scoping session (1-2 hours) -- define deliverables, timeline, and success criteria
  3. 3Proposal and SOW delivery (within 1 week)
  4. 4Engagement kickoff -- stakeholder interviews and artifact collection
  5. 5Analysis and deliverable development (2-6 weeks depending on scope)
  6. 6Findings presentation and roadmap delivery
  7. 7Post-engagement follow-up (30 days)

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 AI regulations. If you are deploying AI systems -- especially in regulated industries -- you need a governance framework that covers risk classification, bias testing, documentation, and human oversight.

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

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

What's Included

  • AI system inventory and classification (EU AI Act risk tiers)
  • Risk assessment for each AI system
  • Bias and fairness testing methodology design
  • Model documentation standards and templates
  • Human oversight design for high-risk AI systems
  • Compliance gap analysis (EU AI Act, NIST AI RMF, state regulations)
  • AI governance operating model design
  • Technical documentation for regulatory submission
  • Post-market monitoring plan

Who It's For

Organizations deploying AI/ML systems that face regulatory compliance requirements or want to proactively manage AI risk. Especially relevant for organizations subject to the EU AI Act (enforcement deadline: August 2, 2026), healthcare companies using AI in diagnostics or operations, and financial services firms using algorithmic decision-making.

Engagement Process

  1. 1Discovery call (30 minutes, free)
  2. 2AI system inventory workshop (half-day) -- catalog existing AI systems
  3. 3Scoping session -- define which systems to assess and compliance targets
  4. 4Proposal and SOW delivery
  5. 5Risk assessment and compliance gap analysis (4-8 weeks)
  6. 6Framework design and documentation (4-8 weeks)
  7. 7Implementation support (ongoing, as needed)

Software Architecture Review & Modernization

We assess your existing software systems, quantify technical debt, identify architectural risks, and build a prioritized modernization roadmap. Whether you are considering microservices decomposition, cloud migration, or API redesign, we provide the technical analysis and strategic clarity to make informed decisions.

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

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

What's Included

  • Codebase analysis and architecture documentation
  • Technical debt identification and quantification (velocity impact, incident cost, compliance risk)
  • Architecture risk assessment
  • Architecture Decision Records (ADRs) for key decisions
  • Microservices decomposition strategy (where applicable)
  • API design review and recommendations
  • Database architecture assessment
  • Cloud migration planning and readiness assessment
  • 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. Also relevant for private equity portfolio companies conducting technology due diligence.

Engagement Process

  1. 1Discovery call (30 minutes, free)
  2. 2Codebase access and architecture documentation review
  3. 3Stakeholder interviews (engineering leads, product managers)
  4. 4Technical analysis (agent-assisted codebase analysis for pattern identification)
  5. 5Findings and roadmap delivery (2-4 weeks for review, 4-8 weeks for full roadmap)
  6. 6Presentation and Q&A with engineering leadership
  7. 7Optional: ongoing advisory support during implementation

Data Quality & Observability

We design and implement data quality monitoring systems and observability pipelines that catch data issues before they impact your business. Our approach is tool-agnostic -- we work with your existing stack and recommend solutions based on your specific needs, not vendor partnerships.

Data quality assessments from $10,000. Observability platform implementation from $25,000. Ongoing monitoring from $5,000/month.

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

What's Included

  • Data quality assessment (current state of data quality across key assets)
  • Data quality rule authoring (schema validation, statistical profiling, business rules, cross-dataset consistency)
  • Data quality SLA definition for critical data assets
  • Anomaly detection pipeline design
  • Data observability dashboard development
  • Alerting and escalation workflow design
  • Tool evaluation and recommendation (Great Expectations, Monte Carlo, Soda, dbt tests, custom solutions)
  • Implementation and knowledge transfer

Who It's For

Organizations that have invested in data infrastructure (data lakes, warehouses, pipelines) but are not confident in the quality of the data flowing through them. Also relevant for organizations facing data quality incidents that impact downstream analytics, reporting, or AI model performance.

Engagement Process

  1. 1Discovery call (30 minutes, free)
  2. 2Data quality assessment (identify highest-risk data assets and current monitoring gaps)
  3. 3Rule design and SLA definition (collaborative workshops with data producers and consumers)
  4. 4Implementation (observability pipeline, dashboards, alerting)
  5. 5Knowledge transfer and documentation
  6. 6Optional: ongoing monitoring and tuning retainer

Fractional CTO

Senior technology leadership on a part-time basis. For growth-stage companies that need a CTO's strategic thinking, architecture oversight, and team mentorship without the $300,000+ cost of a full-time executive hire.

Quarter-time (10 hrs/week) from $8,000/month. Half-time (20 hrs/week) from $15,000/month. Hourly advisory at $300/hr.

Typical buyers: CEO/Founder, Board of Directors, Private Equity operating partners

What's Included

  • Technology strategy development and roadmap
  • Architecture review and decision-making
  • Engineering team structure advisory and hiring support
  • Vendor and technology evaluation (build vs. buy analysis)
  • Board and investor-facing technical communication
  • Incident response escalation and technical crisis management
  • Regular cadence of strategic sessions (weekly or biweekly)
  • Embedded in your communication channels (Slack, Teams)

Who It's For

Growth-stage companies (100-500 employees) that have outgrown their founding engineer's capacity but are not ready for a full-time CTO. Also relevant for private equity portfolio companies that need interim technical leadership and organizations going through a technology transition.

Engagement Process

  1. 1Discovery call (30 minutes, free)
  2. 2Current-state assessment (technology, team, processes)
  3. 3Engagement model selection (quarter-time: 10 hrs/week, half-time: 20 hrs/week, or hourly advisory)
  4. 490-day initial engagement with defined objectives and success criteria
  5. 5Monthly review and adjustment
  6. 6Transition plan when the organization is ready for a full-time hire

DevOps & Platform Engineering

We assess your CI/CD pipelines, infrastructure-as-code practices, observability stack, and developer experience using DORA metrics as the baseline. Then we build a roadmap to improve deployment frequency, reduce lead time, lower change failure rates, and speed up recovery.

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

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

What's Included

  • DevOps maturity assessment using DORA metrics framework
  • CI/CD pipeline review and optimization recommendations
  • 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
  • Platform engineering strategy (internal developer platform roadmap)
  • Implementation support and knowledge transfer

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.

Engagement Process

  1. 1Discovery call (30 minutes, free)
  2. 2DORA metrics baseline measurement
  3. 3Stakeholder interviews (engineering leads, SREs, developers)
  4. 4Assessment and recommendations (2-3 weeks)
  5. 5Roadmap delivery and prioritization workshop
  6. 6Optional: hands-on implementation support

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 the design of AI systems that can execute complex workflows autonomously, validated through scenario-based testing and deployed with monitoring and governance.

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

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

What's Included

  • Agent architecture design (workflow vs. agent patterns, orchestration strategy)
  • Scenario definition and validation harness development
  • Digital Twin Universe construction (behavioral clones of external services for testing)
  • Agent system development and iterative refinement
  • Convergence-driven quality assurance (LLM-as-judge satisfaction scoring)
  • Production deployment with monitoring and alerting
  • Operational runbooks and documentation
  • Knowledge transfer to your engineering team

Who It's For

Organizations that want to automate complex, multi-step business processes with AI agents -- and want it done right, with governance, testing, and monitoring built in from the start. Relevant for any organization that has moved beyond simple AI prototypes and needs production-grade agentic systems.

Engagement Process

  1. 1Discovery call (30 minutes, free)
  2. 2Discovery and architecture phase (3-6 weeks) -- define the agent's purpose, scenarios, and success criteria
  3. 3Development phase (8-20 weeks) -- iterative agent system development with scenario validation
  4. 4Deployment and monitoring setup
  5. 5Knowledge transfer and documentation
  6. 6Optional: ongoing support and optimization retainer

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, we bridge the gap between what the business needs from data and what the technology organization can deliver.

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

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

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 data strategy)
  • Analytics and AI capability roadmap
  • Data culture development plan
  • Gap analysis and prioritized implementation plan
  • Executive-ready documentation suitable for board presentation and budget planning
  • Quarterly strategic review cadence

Who It's For

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

Engagement Process

  1. 1Discovery call (30 minutes, free)
  2. 2Data strategy workshop (1-2 day intensive, optional standalone engagement)
  3. 3Stakeholder interview series
  4. 4Current-state assessment and gap analysis
  5. 5Strategy and roadmap development (6-10 weeks)
  6. 6Executive presentation and feedback incorporation
  7. 7Optional: quarterly strategic reviews

Ready to raise the standard?

Every engagement starts with a free 30-minute discovery call. No preparation needed -- just bring your questions and we will have an honest conversation about your situation.

Schedule a Discovery Call

No pressure, no sales pitch. Just an honest conversation about your situation and whether Touchstone Data is the right fit.