Consumer Products
Keep supply chain, commercial and plant systems running as one.
Sapient Bodhi ranked #1 for deep research.
3M lines of COBOL → clear specs in 8 weeks.
Meet Sapient Sustain: context-aware AI for complex IT operations.
Publicis Sapient combines enterprise experts with AI platforms that anticipate issues, resolve them automatically and keep operations resilient as complexity grows.
We've spent decades running these environments. These are the problems that come up in nearly every enterprise.
Industry context isn’t a layer we add later. It’s what our platforms are built on from day one.
Our teams bring an operating model for the full incident lifecycle. Sapient Sustain spots problems early, resolves the routine and stops repeats.
<p>reduction in major incidents</p>
<p>reduction in operational costs</p>
<p>improvement in mean time to resolution</p>
<p>reduction in operational costs</p>
<p>same-day issue resolution</p>
Nissan's digital platforms supported sales, dealer engagement and customer experience, but reactive IT operations made performance harder to control.
Sapient Sustain added AI-powered monitoring, self-healing automation and real-time visibility to prevent issues earlier, without disrupting Nissan's existing technology stack.
<p>reduction in major incidents</p>
<p>reduction in aging tickets</p>
The brand's digital sites faced more bugs, friction and instability during peak retail periods, with no clear view across systems.
Sustain added real-time monitoring, automated issue handling and clearer system visibility to detect problems earlier and keep digital experiences stable through peak demand.
Resilient operations anticipate problems rather than react to them. Systems predict where failures are likely, resolve known issues automatically and recover quickly when something does break—so reliability improves as the environment grows more complex.
Traditional managed services scale by adding people: more tickets, more headcount. This model scales by adding intelligence—agents that detect, triage and resolve recurring work—so cost and reliability stop moving in opposite directions.
By removing repeat work rather than removing people from the queue. Automating known and recurring incidents, preventing repeat failures and shifting work earlier frees teams for the problems that genuinely need judgment.
An operating model built around AI handling routine work end to end—detection, triage, resolution and verification—with people focused on exceptions, risk decisions and improvement. It's a different structure, not a tool added to the existing one.
No. Sustain sits on top of the tools you already run, connecting systems, tickets and changes into one operational view rather than requiring you to replace what works.
Every sector has different definitions of critical, different regulatory expectations and different consequences for failure. Industry context determines what must never go down, how fast recovery has to be and which actions can safely be automated.