Strategy, design, implementation, data, and ongoing support. Every engagement is scoped for your specific workflows and built inside the systems you already run. Nothing is adapted from a generic template.
Drawn on together across a programme, or one at a time for a focused scope.
Opportunity assessment, pain-point mapping, success metrics, and governance design. Whether you are deciding where to start or reviewing an existing programme, you leave with a clear, prioritised plan before any build begins.
UX design, process mapping, journey design, and change readiness. Good AI that nobody adopts is a failed deployment, so the system is shaped to fit how your team already works before it is ever built.
Agent development, multi-agent orchestration, API and system integration, and production deployment. Lean ops team or complex enterprise stack, the work is scoped to fit and integrates cleanly with what you already have.
Data pipeline design, vector store and RAG implementation, dashboards, and performance analytics. Agents are only as good as the data they run on, so the data layer is built alongside the agent layer, never as an afterthought.
Continuous monitoring, model retraining, performance reporting, and helpdesk support for your team. AI in production changes over time, so Autonomix stays engaged, keeping performance steady as your business evolves.
AI agents deployed across the business functions where process inefficiency costs the most. Every area below reflects real engagements, not theoretical use cases.
Lead qualification, outreach, CRM enrichment, and campaign operations.
Invoice processing, reconciliation, reporting, and vendor management.
Contract review, clause flagging, risk monitoring, and policy-aware document drafting.
Employee onboarding, benefits automation, internal helpdesk, and resource allocation.
Process optimisation, workflow automation, IT systems automation, and reporting.
AI operates across the channels and tools your teams open every day, not in a separate interface nobody remembers to check.
Agents embedded in Slack, Teams, WhatsApp, and web chat. They answer queries, trigger workflows, and escalate the moment a human is needed.
Slack · Microsoft Teams · WhatsApp Business · Web widget
Automated classification, smart responses, workflow triggers, and follow-up management, running quietly across your inboxes.
Gmail · Outlook · Custom IMAP
Real-time call intelligence, routing, transcription, and post-call workflow automation, wherever calls come in.
Twilio · Custom voice integrations
Real-time operational insight, predictive reporting, and embedded intelligence surfaced in the dashboards your team already opens.
Databricks · Snowflake · Custom BI
Image and video analysis for visual inspection, data extraction, anomaly detection, and quality control.
Manufacturing QC · Document processing · Site monitoring
Automated monitoring, event detection, and predictive maintenance across networks of connected devices.
Industrial equipment · Facility management · Supply chain
Embedded through to the last deployment, never bolted on at the end.
Deploy on your terms, on AWS, Microsoft Azure or Google Cloud, and in private cloud, on-premise or hybrid configurations. End-to-end encryption throughout, with data residency requirements and internal security policies accommodated.
Designed and delivered in alignment with SOC 2, GDPR and ISO 27001 practices. For clients in healthcare, consumer data and EU-regulated industries, agents are designed to support HIPAA, CCPA and EU AI Act requirements.
Granular access controls ensure only authorised people interact with each agent. Full audit logging gives your security teams complete visibility into every action, query, and output.
Your data stays within your environment. Strict isolation applies across every engagement, and your data is never used to train or fine-tune any model. Each engagement runs in a fully segregated context.
Five engagements across EdTech, consumer goods, HR technology, healthcare, and professional services.
TeamLease Education Foundation
A large EdTech and workforce enterprise needed AI that could generate course content and run live academic sessions reliably at population scale, while staying compliant with UGC guidelines.
A leading global lubricants brand
The client wanted an always-on WhatsApp assistant to handle high-volume customer interactions during national campaigns, without a call-centre headcount spike.
OneBenefits
An HR and benefits startup needed to go from prototype to a real, multi-tenant SaaS product without cutting corners on security or integrations.
Surgi.Link
Surgi.Link needed to build AI capabilities into their surgical collaboration platform without compromising the compliance and reliability standards required in a clinical environment.
Golden Coast Strategies
Golden Coast Strategies needed AI in their strategy and advisory workflows to improve the speed and consistency of client deliverables.
We will tell you whether AI is the right tool, what a realistic engagement looks like, and what it would cost. No obligation.
