Augix partners with operators to identify where AI delivers the most leverage, build it into existing tools, and roll it out to teams that actually use it.
Most AI rollouts stall because they start with the model and end with a demo. We start with the work, measure what changes, and only count the wins that show up in the P&L.
We spend two weeks inside your business, mapping the work your team actually does. The output is a prioritized list of opportunities scored by impact, feasibility, and risk — with the ones we'd ship first marked clearly.
We don't sell pilots that never ship. Every engagement starts with a fixed-fee diagnostic and a clear go / no-go decision before we touch production.
Two weeks in your business — interviews, shadowing, data review. We leave with a prioritized opportunity map, not a deck of stock examples.
We build the highest-leverage workflow first, in a sandbox connected to real data. You see it work before any commitment to scale.
Ship it to a small team in production. Real workload, real measurement, real feedback loops — with humans in the loop until quality is proven.
Roll out to the rest of the org with champions, enablement, and an adoption dashboard reviewed monthly. New capabilities ship continuously.
Every pilot should be instrumented against a pre-engagement baseline, with the work replaced, hours redeployed, and quality acceptance reported transparently.
We design AI workflows for operators across SaaS, financial services, professional services and healthcare. These examples show the kinds of problems Augix is built to solve.
An 800-person sales org was losing deals to RFP backlogs. We built a retrieval-grounded agent that drafts answers from the existing answer library, flags gaps for SMEs, and routes for sign-off — all inside Salesforce.
A mid-market services firm was drowning in AP reconciliation. We deployed a workflow that parses invoices, matches them to POs and contracts, and surfaces only the exceptions to humans.
We're a team of operators, ML engineers and designers who've shipped AI products from inside large organizations. We started Augix to do it from the outside, faster.
The model layer is changing every quarter. The shape of work in your business changes once a decade. We build around the second — and swap the first as the field moves.
Every engagement proves itself with a single pilot team before we scale. We'd rather kill the wrong idea in week four than maintain a broken rollout for two years.
Time saved on a task is interesting. Hours redeployed against a baseline, audited, are real. We instrument every pilot against the work it replaces and report transparently every month.
Augix isn't a permanent team. Every engagement ends with internal champions, playbooks, and a roadmap your team owns. We come back to ship the next thing — not to run the last one.
Book a discovery call. We'll walk through where AI fits in your business, what we'd build first, and what it would cost to find out. No deck.