Data & AI Systems Engineering
AI that ships to production, not AI theater
We build AI-enabled systems that improve real workflows — with governance, accountability, and clear ownership from day one.
- Driving real change
- Enablement + Delivery
- Governance-first delivery
- Every system
- AI Readiness starts at
- $35K
Where you start
Different starting lines. The same production-first delivery model.
Establish foundational AI fluency
Your team needs to understand AI before you can govern it. Big Impact Group delivers structured learning workshops that build practical AI literacy — so leaders and operators make informed decisions, not reactive ones.
Assess AI readiness
You have AI pressure from the board but no clear path from prototype to production. You need to understand what is possible, what is safe, and what to do first.
Build AI into existing systems
You have specific workflows where AI can reduce manual effort or improve decisions. You need integration that is governed, monitored, and production-ready.
Fix ungoverned AI
AI experiments are running without controls. You need governance, evaluation criteria, and accountability before something breaks.
Delivery meets Strategy.
No gaps. No handoffs.
We’ve partnered with Big Impact Group to solve the disconnect between "AI strategy" and "AI engineering." They define the governance and value; we build the systems that deliver it.
- System delivery & integration
- Data pipelines & architecture
- MLOps & observability
- Production accountability
- AI strategy & prioritization
- Model design & evaluation
- Governance frameworks
- Change management
AI pressure without operational readiness
The board wants AI. Competitors claim AI capabilities. But there is no governance, no data foundation, and no clear path from prototype to production. Every shortcut creates risk that compounds.
AI experiments run without controls. Prototypes never reach production. When they do, nobody has defined what the system should refuse, when it should escalate, or who is accountable when it fails.
What we deliver
AI systems engineering with production accountability at every layer.
AI opportunity and workflow assessment
Identify where AI reduces manual effort or improves decisions. Separate viable use cases from AI theater based on data readiness and operational impact.
Data pipelines and AI-ready architecture
Build the data foundation that AI systems require. Storage, quality, governance, and pipelines designed for production use — not prototyping.
AI integration into platforms and CMS
Connect AI capabilities to existing platforms, content systems, and operational workflows. Integration that is governed, monitored, and production-ready.
MLOps, monitoring, and lifecycle management
Model monitoring, versioning, retraining, and lifecycle management. Production-grade from the start — no prototype-to-production shortcuts.
Security, compliance, and governance
Data privacy, access controls, audit readiness, and regulatory alignment. Guardrails and escalation rules defined before deployment.
Delivery principles
Production-grade from the start. Governed at every layer.
Controls before code
Every AI capability ships with a controls brief: what it does, what it does not do, when it escalates, and who is accountable.
Production-grade from the start
No prototype-to-production shortcuts. MLOps, monitoring, and governance are built in from the beginning.
Clear accountability
InGen owns system delivery. Big Impact Group owns strategy and governance. The client knows who is responsible for what.
Data quality first
AI systems are only as good as the data. We assess and fix data foundations before building AI on top.
Measurable outcomes
Every AI capability has defined success metrics before deployment, not after.
Engagements & Typical Ranges
Typical ranges shown. Final pricing depends on scope, data access, and compliance requirements.
AI Readiness & Risk Assessment
Four to six weeks. We assess opportunities, define controls, and create a constrained AI roadmap — so you move forward with governance, not guesswork.
- AI opportunity assessment with prioritization
- Controls brief for each viable use case
- Data readiness evaluation
- Constrained AI roadmap with clear next steps
Targeted AI System Delivery
Build and deploy AI-enabled systems with governance and monitoring.
AI Platform Partnership
Sustained AI system evolution, monitoring, and governance.
What changes
- Manual effort reduced
- Decision latency reduced
- Adoption of AI features
- Stability and uptime of AI-enabled systems
Why this feels different
We do not sell AI workshops or strategy decks. We build AI systems that reach production with governance, monitoring, and clear accountability.
Who this is for
- CTOs and CDOs with AI pressure from the board but no clear production path
- VP Engineering teams integrating AI into existing platforms and workflows
- Organizations that need AI governance before or alongside AI delivery
- Leaders who have had AI experiments fail to reach production
Who this is not for
- Organizations looking for AI strategy workshops without system delivery
- Teams that want a chatbot demo without production accountability
- Buyers who expect AI results without governance investment
How We’ve Helped Our Clients Solve Real, Meaningful Problems
Frequently Asked Questions
Start with an AI readiness assessment
Four to six weeks. We assess opportunities, define controls, and create a constrained AI roadmap — so you move forward with governance, not guesswork.
Talk to our AI systems team