InsightNext designs, builds and hands over custom agents over the systems you already run: SAP, finance warehouses, document stores, contact centres — on Gemini Enterprise where that's the right fit.
The shape most of our agent work takes. The agent runtime has no database access of its own.
Four practices, one team. Most engagements start as a Gemini Enterprise pilot or a two-week assessment and grow from there.
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.
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.
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.
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.
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.
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.
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.
Anonymised where the client prefers it. Ask us for references.
A weekly pipeline decomposes gross profit down its driver tree and attributes the variance in dollars. Deterministic math wherever a derivation exists; models only where one does not.
A self-service CI/CD platform that lets internal business teams ship their own apps through a single governed pipeline — zero manual cloud-console access, four delivery phases, foundation phase accepted in five weeks.
An agent pipeline that generates brand-compliant marketing creative in the background, returns a session handle in under a second, and polls to completion instead of blocking the browser.
The same four stages whether it's a five-week pilot or a twenty-week platform build. Gates between each, with a named approver.
Two to three weeks of workshops with the people who own the process. We leave with a written requirements document, a data-gap assessment, and an architecture you can approve.
Foundation, security and governance first, then the agent. Every decision is logged with who made it and why, so sign-off is a formality rather than a surprise.
A named group of real users on production data, a feedback sheet, and weekly tuning. We measure against agreed scenarios, not vibes.
Runbooks, knowledge transfer, IAM narrowed to what production needs, and our own access removed. You should not need us to keep it running.
Directly. You have a system with answers locked in it and people who need them. We scope, build and hand over.
As a delivery partner. You are a cloud consultancy or digital agency with a signed statement of work and a capacity gap. We staff the engagement under your paper, mirror your deliverables, and stay invisible to your client if that's what you want. Most of our 2026 work runs this way.
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.