Services

We do a small number of things repeatedly. If your problem is one of these, you get a team that has done it before.

Gemini Enterprise deployments

Pilot-to-production rollouts of Gemini Enterprise: identity (Okta, Google, Entra), connectors to the systems your teams live in, data-store design, and the enablement that gets people using it.

  • Full-org rollouts of 300 to 1,400+ users in waves
  • First-party, federated and BYO-MCP connectors
  • SCIM and SSO wiring that doesn't need rebuilding later
  • Rinse-and-repeat enablement curriculum

Agents over enterprise data

Custom agents that answer real operational questions from SAP, finance warehouses and line-of-business systems — with guardrails, traceable numbers and no write-back until you say so.

  • Source → BigQuery → MCP Toolbox → Agent Engine pattern
  • Recommend-only agents with an as-of stamp on every row
  • Evaluation suites before anyone calls it production
  • Runbooks and knowledge transfer so your team owns it

Search and platform engineering

Vertex AI Search at scale: multi-language data stores, indexing pipelines, intent-aware ranking and the observability to know when something is wrong before your users do.

  • Tens of millions of documents
  • Metadata update and deletion pipelines
  • Ranking formulas tied to user intent
  • Logging → BigQuery telemetry

Contact-center and conversational AI

Voice and chat agents for regulated industries — healthcare, financial services, insurance — with retrieval grounded in your knowledge base and humans in the loop where it matters.

  • HIPAA-conscious RAG voice and chat
  • Multi-agent orchestration (planner, chat, voice, advisor)
  • Hallucination controls: confidence routing, judge models
  • Claims, FNOL and support flows

Data foundations for AI readiness

An agent is only as good as the tables underneath it. We build the layer agents actually read from: curated views that encode the business rules once, extraction that keeps them current, and quality checks that fail loudly before an agent quotes a wrong number.

  • Source-system extraction into BigQuery, delta and full-refresh
  • Curated views that hold the business rules once, not per agent
  • Data-quality invariants checked against production, not fixtures
  • Lineage, access boundaries and an as-of stamp on every row

Infrastructure modernization

The platform work underneath the agents: landing zones that satisfy your auditors, honest capacity and cost modelling for accelerators, and delivery pipelines that let teams ship without anyone touching a console.

  • GPU and TPU capacity planning and cost modelling before you commit
  • Terraform landing zones with per-environment encryption boundaries
  • CI/CD on workload identity federation — no long-lived keys to leak
  • Cost and chargeback visibility per team and per environment

Citizen developer platforms

A governed path for business teams to ship their own applications, so enablement doesn't end with handing out project-owner roles. Reusable pipeline templates, an audited landing zone, and no manual console access anywhere in the flow.

  • Self-service delivery from a small set of reusable pipeline templates
  • Every change flows through the pipeline — no manual console access
  • Per-environment encryption, service-control boundaries and audit
  • How it went in practice: the case study and what such a platform actually needs

Advisory and assessment

Before any of the above, or instead of it.

Gemini Enterprise assessment

Two to three weeks. Identity, connector inventory, data-store design, licensing, a wave plan and a cost model. You leave with a document you can take to procurement.

Agent use-case discovery

Workshops with the process owners, a ranked use-case list, a data-gap assessment against the real source tables, and an architecture. Fixed price, and the output is yours whoever builds it.

Talk to us

Tell us what system the answer lives in and who needs it. We'll reply with a view on whether it's a two-week assessment, a five-week pilot, or something else.

akash@insightnext.tech

InsightNext on LinkedIn