Clear business bets
A ranked backlog with owners, metrics, and a 90-day sequence.
12+
Use cases scored
Generative AI Consulting
GenAI strategy that ships — not stalls in pilot purgatory.
Use-case discovery, architecture, and safe LLM rollout. Senior AI architects who turn ambiguity into a build-ready 90-day plan.
SOC 2 readySenior architects2–4 weeks
GenAI roadmap · live previewLive
Engagement phases
01 / 04
Workshops with product, ops, and data owners to surface real opportunities.
Opportunity discovery map
Workshops- Stakeholder interviews94%
- Workflow mapping88%
- Data readiness audit76%
Week 1
Phase
8+
Workshops
12
Use cases
- Opportunity backlog draft
- Stakeholder map
0+
Years experience
0+
Projects delivered
0%
Client satisfaction
0+
Developers
What you leave with
Tangible artifacts your team can execute — not a deck that gathers dust.
Prioritized GenAI roadmap with ROI scores
A ranked backlog of GenAI use-cases your team can act on, scored by business impact, feasibility, and data readiness.
What's inside
Use-case scoring matrix
ROI projections
Dependency graph
Quick-win shortlist
Outcomes
Consulting that ends in decisions — not decks.
Four concrete outcomes every GenAI engagement is designed to deliver before build begins.
Build-ready architecture
Copilot, RAG, and tool-calling patterns without vendor lock-in.
100%
Build-ready output
Risk under control
Guardrails for PII, hallucinations, and vendor exposure from day one.
4
Governance gates
Proof, not slides
Prototypes and eval scores that justify the next sprint.
2 wks
To first prototype
Eval before production
Golden datasets and governance gates before any pilot goes live.
Build follow-on ready
Same team can continue into AI Software Development or Agents.
No vendor lock-in
Model-agnostic architecture you own — swap providers without a rewrite.
Use-case discovery
Where GenAI usually pays off first.
Scored on data access, risk, and measurable impact before we recommend build.
High ROI
01
Customer copilots
Support and sales assistants grounded in your knowledge base.
Explore use case
Quick win
02
Internal knowledge Q&A
Secure retrieval over docs, tickets, and SOPs.
Explore use case
Data-rich
03
Document intelligence
Extract, classify, and summarize contracts and claims.
Explore use case
Dev speed
04
Content & code assist
Drafting, review, and developer productivity workflows.
Explore use case
Cost saver
05
Ops automation
LLM + rules for triage, routing, and exception handling.
Explore use case
Differentiator
06
Product AI features
Embed generative capabilities into your SaaS roadmap.
Explore use case
Client success
Outcomes we've delivered
Our toolkit
Stacks we ship GenAI with
Model providers, vector stores, and application frameworks chosen for production reliability.
Ruby on Rails
Node.js
Flask
Next.js
Nest.js
Python
Django
Express.js
FastAPI
Laravel (PHP)
Go (Golang)
Java / Spring Boot
.NET Core
GraphQL
gRPC
Explore more
AI & Data Innovation services
AI Agents
Autonomous workflows that connect models to your tools and data.
AI Workshops
Hands-on sessions to align teams on AI adoption and architecture.
AI Software Development
Custom copilots, RAG pipelines, and intelligent product features.
Data Science
Predictive models and experimentation pipelines in production.
Business Intelligence
Dashboards and metrics layers decision-makers actually use.
Get started
Ready to map your GenAI roadmap?
Talk with a Qbatch AI architect about use cases, risk, and a 90-day plan your team can execute.