AWS gives ambitious organisations the broadest, deepest cloud platform on the planet. It is the place to innovate with agentic AI leveraging tools like Bedrock AgentCore and SageMaker; to scale modern data and analytics leveraging the Power of Three with partners like Snowflake and Databricks; and to thrive through resilient, secure, cost-optimised operations that are intimately aligned with Line of Business (LOB) value.
At Vivanti, we co-develop with you, turning AWS's capability into your competitive edge.
We are an engineering-led, outcomes-driven consultancy. We start with the business result our customers are trying to achieve - revenue, margin, risk, customer experience, time-to-market - and work backwards to the strategy, architecture and delivery that gets them there. Our frameworks like AgenticXP work hand-in-glove with AWS's “Working Backwards”.
That means we sit at both ends of the table. We shape corporate strategy with executive teams and we build the AI and data solutions on AWS that make those strategies real. From agentic AI on Bedrock; to modern analytics on Redshift and SageMaker; to the platform foundations that keep them secure, governed and cost-effective.
Our certified AWS practitioners bring the rigour and discipline AWS workloads demand, so every outcome we commit to is one we can deliver.
We invest in reusable technology accelerators on AWS so our customers don't start from a blank page. Each accelerator is a pattern: reference architecture, infrastructure as code, opinionated tooling and a delivery playbook that allows our teams to focus on the business problem and the technical attributes that are unique to our customer.
Our AI Gateway accelerator gives you a single AI control plane over your AI estate, routing traffic across models with LiteLLM, tracing and evaluating with Langfuse, and running production agents on Amazon Bedrock and AgentCore.
Our Contact Centre Accelerator pairs AWS Connect with our Customer Insights 360 pattern to turn calls, transcripts and CRM signals into governed, real-time insight - giving operations, marketing and product a 360-degree view of every customer.
01
AgenticXP is Vivanti's working-backwards method for agentic AI on AWS. It puts product and engineering on the same page from day one - one team, one backlog, one definition of success - so every agent, dataset and model is built against a real LOB outcome. The result is AI that ships into production and moves the metrics that matter. From concept to production that matters.
02
Our Contact Centre Accelerator extracts maximum value from AWS Connect. We turn every call recording, transcript and signal into governed, real-time insight - layering sentiment, intent and channel analytics into Human Agent, AI Agent and Customer Analytics 360 views. Operations gets faster handle-times, marketing gets sharper segmentation and product gets a true voice-of-customer feed, all from the AWS Connect investment you already have.
03
Legacy systems are expensive to run and expensive to change. Our AI-enabled migration practice can leverage AWS Kiro's spec-driven agentic IDE to reverse-engineer legacy code into clear specifications and then generate, test and refactor target services in a controlled loop. Migrations land faster, with less manual effort and lower TCO - retiring run-cost, license-cost and change-cost in one move.
04
You have already invested in Snowflake and Databricks. The Power of Three (AWS, them and us) can make those investments work harder. As a long-standing partner across all three, we design bespoke data warehousing solutions that route each workload to the right engine: Snowflake for the AI Data Cloud, Databricks for lakehouse and AI, AWS for scale, security and the surrounding services - so you get more value from every platform you already pay for.
05
Our AI Gateway is the single control point for your LLM and agent estate, optimised across capability, quality and cost. We combine LiteLLM for multi-provider model routing, Langfuse for end-to-end tracing and evaluation, and Amazon Bedrock AgentCore for production-grade agent runtime - giving platform teams one place to govern access, monitor agent quality and dial cost up or down model by model, agent by agent.
06
Most agentic work will benefit from Small Language Models (SLMs). Drawing on recent research arguing that SLMs are sufficiently powerful, more economical and more operationally fit for agentic systems, we design heterogeneous agent architectures on AWS that route routine, specialised tasks to fine-tuned SLMs and reserve large models for genuine reasoning. SLMs become the default - cheaper, faster, more reliable - and the future of agentic AI in production.
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Managing multiple AI providers means fragmented billing, scattered API keys, and blind spots in your data governance. The Vivanti AI Gateway puts it all behind a single interface — route requests to any model, set per-team budgets, and enforce data protection policies before a single token leaves your network.
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The cost of producing and maintaining software is collapsing. As AI changes the economics of buy versus build, organisations can reconsider what is worth building in the first place.
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Enterprise AI creates value only when organisations industrialise the work around it: the operating model, the decision process, and the data products that provide reliable context
Whether it's a data platform, an AI initiative or software worth building, we'd love to hear what you're working on.
