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Brief № GX-AI-01 Agentic & Applied AI — practice overview Production AI implementations

An engineering brief, not a brochure

AI that survives contact with production.

Most enterprise AI dies between the demo and the deployment. We work the unglamorous end of the problem — data, guardrails, evaluation — so what we ship keeps working.

Thirty minutes. One workflow. A straight answer.

Section01 — Position

Most AI projects don’t fail on model quality. They fail on wrong problem, messy data, no metric. Our first job is telling you whether yours will.

1.1Use case first

We start from the workflow and the number it should move. The model comes last.

1.2Proof before scale

One real workflow, measured on your data, before a full build is approved.

1.3“Not yet” is an answer

If you’re not ready, we say so — in writing, with the gap list.

Section02 — Practices

Three practices, one accountable team.

The same people scope, build, and support — no hand-offs.

Autonomous agents for support, sales and operations — acting on your systems with guardrails, permissions and a clean escalation path to humans.

Deliverables

  • Agents for support, sales & ops — tool use, real actions
  • Predictive scoring, forecasting & next-best-action
  • Data unification — one governed context feeding every agent
  • Guardrails, permissions, monitoring & team rollout
YOUR DATA AGENT ACTION HUMAN REVIEW
Fig. 1 — Governed agent loop w/ escalation

Our home turf — Genetrix began in marketing technology. Personalization, journey optimization and agentic outreach that plug into your existing stack, built by people who know where campaigns actually break.

Deliverables

  • 1:1 personalization & real-time journeys
  • Agentic SDR / outreach — sending limits respected by design
  • Predictive segmentation & send-time optimization
  • Campaign intelligence & attribution
AUDIENCE AI EMAIL BEST PATH HOLD-OUT
Fig. 2 — Decisioned journey w/ hold-out

For the problems no platform covers — retrieval-grounded assistants, copilots and LLM automation wired into your stack. Every build ships with an evaluation harness.

Deliverables

  • RAG assistants over your docs & tickets — with citations
  • Copilots & chatbots for support, ops, internal teams
  • Back-office automation with human checkpoints
  • Model selection, evals, guardrails, cost tuning
DOCS TICKETS RETRIEVE + RANK ANSWER + CITE
Fig. 3 — Grounded retrieval, cited answers
Section03 — Method

Deliberately unglamorous.

Four stages, each with an exit gate. Work advances only when the previous stage has proven itself.

Stage
Name
Work
Timeline
3.1
Discover & assess
Map the workflow, audit the data, agree the success metric.
WK 0–1
3.2
Prove
Build one real use case. Show honest numbers, ugly ones included.
WK 1–3
3.3
Build & harden
Production build — guardrails, integrations, evals designed in.
WK 3–8
3.4
Run & hand over
Deploy, monitor, tune. Train your team. Hand over cleanly — or stay on.
ONGOING
Exit gate If the POC doesn’t clear the bar set in 3.1, the project stops there — at POC cost, not full-build cost.
Section04 — Applications

Where it earns its keep.

The patterns we deploy most, and the number each is built to move.

Support
Tier-1 deflection

Agents + RAG resolve repetitive tickets 24/7; hard ones escalate with context.

cost per ticket, resolution time
Sales
Agentic pipeline

Outreach agents that qualify, follow up and keep the CRM current.

qualified pipeline per rep
Marketing
1:1 personalization

Real-time journeys on unified profiles, with hold-outs so lift is real.

engagement, conversion
Operations
Back-office automation

LLM-in-the-loop approvals and compliance checks, human checkpoints where it counts.

manual hours removed
Knowledge
Internal copilot

Grounded, cited answers over your docs and past tickets.

time-to-answer, onboarding
Data
Trusted foundation

Data unification & governance so every agent decides on clean, complete context.

error rate, rework, risk
Section05 — Engagements

Start small. Prove it. Then scale.

Three ways in, ordered by commitment. Each begins with a conversation, not a contract.

5.1 — Entry

Readiness check

Free assessment

  • Data & workflow readiness review
  • Prioritised use-case shortlist
  • Honest go / no-go, with the gap list
Get assessed
5.2 — Recommended

Proof of concept

Quick Start · 2–4 weeks

  • One real workflow, built & measured
  • Results on your data, not a benchmark
  • 7–14 day risk-free evaluation
Book a discovery call
5.3 — Scale

Full implementation

Scoped · no retainer lock-in

  • Production build across your stack
  • Governance, evals & monitoring
  • Training, documentation, clean handover
Scope a project
Section06 — Questions

Asked in most first calls.

Q. 6.1Will this work with our existing stack?

Yes — we build on the systems you already run: your CRM, helpdesk, data warehouse and marketing tools. No rip-and-replace, no platform mandate. AI that lives inside your stack rather than beside it.

Q. 6.2What if AI isn’t right for our problem?

Then we tell you, early and in writing. A failed rollout doesn’t just waste budget — it poisons the organisation’s appetite for the next attempt.

Q. 6.3How fast do we see something real?

Two to four weeks: one concrete workflow, measured on your own data, honest numbers — failure cases included — before a full build.

Q. 6.4Is our data safe with agentic AI?

Every build gets role-based access control and guardrails designed up front — agents only see what their role permits, actions are logged and auditable, and you get a plain-language account of exactly what data goes where.

Q. 6.5Do you lock clients into retainers?

No. Risk-free evaluation, scoped engagements, no mandatory retainer. “Your partner until you don’t need one” is the operating principle, not a slogan.

Q. 6.6Who actually does the work?

The same specialist team that scopes it, across Pune and Las Vegas. No hand-off to an anonymous delivery centre.

Section07 — Contact

Bring us one workflow you wish ran on its own.

Thirty minutes. A straight read on whether AI can move it, what it would take, and where to start.

More

genetrix.tech — platforms, blog & readiness assessment

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United States

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