AI for Software companies & SaaS
AI for software and SaaS companies, from focused feature prototypes to contextual assistants and production evaluation.
Built around your business
Adding a chat box is easy to imagine. Making it useful inside a real product is a different task. The feature needs the right account context, access boundaries and behaviour when a tool fails. It also needs a reason for the customer to return, beyond the novelty of asking a question.
Voxd helps software businesses turn a specific user problem into a practical AI feature. We can prototype the interaction, connect product data and evaluate the experience before widening the release. The focus is on a useful part of the customer journey, with the software continuing to control permissions and important actions.
Build an assistant that understands the relevant page, role and account information. It can retrieve approved guidance and help users find the next action without exposing another customer’s data. The interface should make capabilities and limits clear, especially when an answer depends on a live tool response.
Prototype a bounded use case with representative inputs and clear acceptance criteria. Evaluate usefulness, failure behaviour, response time and running cost together. A focused test helps the product team decide whether to develop the feature, change the approach or address a different problem first.
Create evaluation examples, monitor quality and plan for changing models, documentation and integrations. Useful AI needs an owner after release, just like any other part of the product. Feedback should reveal where users struggle and which failures need engineering or source-data changes.
Find your starting point
Explore the work behind each opportunity. Start with the problem that matters most to your team.
Move from a user problem to a testable experience.
Test the core AI workflow with a focused prototype and representative examples.
Explore this serviceAdd intelligent search, summarisation or contextual assistance within your existing product experience.
Explore this serviceConnect supported AI tools to approved business data and actions through Model Context Protocol (MCP).
Explore this serviceEvaluate permissions, answers and operational fit.
Review and strengthen an experimental AI application for a controlled production rollout.
Explore this serviceEvaluate AI answers against representative tasks and agreed quality criteria.
Explore this serviceDesign approval steps, ownership and traceable records into AI-assisted workflows.
Explore this serviceManage a feature after users depend on it.
Establish recurring evaluations and review routines for the quality of your live AI system.
Explore this serviceAnalyse AI usage, latency and model choices to identify improvements without losing sight of quality.
Explore this serviceMaintain agreed AI integrations and investigate connection failures as the surrounding systems change.
Explore this serviceFrom a useful idea to working software
Voxd built the Waitrose festival supplier portal and its role-aware AI concierge, connecting guidance with live tasks and space information. It is a supplier application rather than a commercial SaaS product, but it demonstrates contextual assistance within an authenticated workflow. We bring that combination of application development and AI integration to product teams.
Your first step
Pick one user journey and define what a successful interaction enables the user to do. Establish the data permissions, tool scope and evaluation examples before broad release. Test failure cases as deliberately as successful ones, then use the findings to decide the next product investment.
Talk through a pilotRelevant in-product AI project
An authenticated portal assistant that combines user context, knowledge retrieval and live operational data.
A successful festival starts long before the doors open. Voxd built the Waitrose Winter Food & Drink Festival supplier portal and an AI concierge that helps suppliers understand what they need to do, find suitable spaces and keep preparations moving.
Read the case studyBefore you get started
Yes. We can scope the work around a prototype, integration or production-readiness task, with clear interfaces and ownership. The aim is to fit your product architecture and release process rather than create a disconnected experiment.
Agree representative user tasks and failure cases, then evaluate answer quality, permissions, latency and cost against the intended experience. Readiness also includes monitoring, support ownership and a defined response when a dependency changes.
Bring us the journey and the constraints around it. We will help shape a prototype that can answer a real product question.
Talk to Voxd