Expertise

AI / ML

Useful models with traceability and guardrails.

Summary

Framing AI/ML use cases, deploying models and LLMs with monitoring, security, cost control, and guardrails for sensitive contexts.

Typical cases

AI/ML framing (use cases, risks, data readiness)
Deploying models/LLMs with monitoring, security, and cost control
Documentation and handover: playbooks, runbooks, MLOps

Deliverables

Framed AI use cases (value, risks, data)
Models/LLMs deployed with observability and security
Usage guides and runbooks for operations and cost control

Tooling / stack

MLOpsLLM + guardrailsModel observabilitySecurity / IAMCost controlPlaybooks / runbooks

Go further

Dive into our method, offerings, and adjacent expertise areas.

Method

SharedSight approach: short diagnostic, written decisions, guided delivery

Offerings

Offerings: mission types, expected outcomes, deliverables

Related expertise

Data

Pragmatic data architecture, quality and governance, ingestion pipelines, and data observability.

Related expertise

Observability

Coherent instrumentation, alert budgets focused on users, operational dashboards. Less noise, more action.

Related expertise

Software & application architecture

Pragmatic target architecture aligned with security, scalability, and delivery constraints. Tracked decisions (ADR), incremental trajectories, guardrails to avoid drift.

Related expertise

Software development

Robust delivery: pipelines, quality, security. Teams coached on practices (tests, reviews, CI/CD) with product-oriented delivery.

Value in Vision

Move forward on this topic

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