Outcomes, not promises.
The best way to understand what we do is to look at what changed after we shipped. Here are a few representative engagements from the industries we work in.
-
Beverage-alcohol distributor
Daily out-of-stock visibility across 12,000 stores
Replaced weekly, partial shelf checks with a daily, store-level picture of availability. Field teams could act on gaps the same day instead of a week later.
-
Health system
EHR-integrated workflow build
Designed and shipped a clinician-facing workflow that plugged into the existing EHR, cutting manual data entry and keeping records in sync with the system of record.
-
Multi-market retailer
Pricing intelligence across markets
Built a pipeline that consolidated pricing signals across markets into one view, giving the commercial team a defensible basis for pricing decisions.
-
Financial services
Off an end-of-life core with no cutover downtime
Moved a critical system off an unsupported stack using the strangler-fig pattern. The legacy app kept serving customers while each piece moved across, so there was no big-bang switch to fail.
-
B2B SaaS
SOC 2-ready ahead of a deal deadline
Mapped the controls a prospect's security review demanded, closed the gaps that mattered first, and got the team audit-ready in time to keep the deal moving.
-
Media company
Cloud bill back under control
Right-sized over-provisioned infrastructure and added spend guardrails. The bill stopped climbing faster than usage, and the team could forecast it again.
-
Support-heavy operations
A support assistant the team actually trusts
Built a retrieval assistant on the company's own documentation, with guardrails and a human handoff for anything uncertain. Agents got faster answers without guessing.
-
Manufacturing
Releases that stopped being an event
Codified the build and deploy pipeline and added a rollback path. Shipping went from an occasional, nervous push to a routine one the team could repeat safely.
-
Multi-brand retailer
One set of numbers everyone agrees on
Consolidated data scattered across systems into a model with shared metric definitions, so a number means the same thing in every meeting.
Figures and details above are representative of the kind of work we do and have been anonymized; they do not describe a single named client engagement.
See it on your own data.
Book a 30-minute demo. We'll walk through Shield Suite with your use case in mind.