A simple, risk-mitigated plan with a deliverable at every phase
We implement systematically, with feedback at every phase through listening sessions so teams tackle the main challenges first, in the way that best optimizes the business. Each phase delivers something that makes an impact, and we build from there.
Best Practices AI
Not connected to company data. Higgins is loaded with Best Practices AI for every function, connected to industry databases, so associates get familiar with specialized AI that incorporates top models and is focused on their discipline.
Junior-level assistant AI
Connected to limited company data. Validated connections to commonly used repositories (SharePoint, Teams, Notes, ServiceNow) provide project, product and functional help based on each associate’s “top of mind.”
Senior-level assistant AI
Connected to company software through APIs (for example Polarion, Veeva, Tableau and PLM) for specialized needs and configurations.
Sandbox → Pilot trial → Beta launch
Sandbox
Get the pilot working with all data structures, using relevant randomized data to train Higgins on structure.
Pilot trial
Get Higgins approved through the IT system: finalize and ratify risk assessments and perform security testing, including APIs.
Beta launch
Release trained, structured AI with PLM and lab data, using structured and unstructured data for instant accessibility, instant insights and instant benefits.
Related reading: why enterprise AI pilots fail and how to measure AI ROI.
Pay for usage, not seats
Higgins removes the need to justify annual fees: maintenance costs are determined by usage rather than the number of users. Associates engage with Higgins only if it enhances efficiency and delivers value, so the higher the usage, the greater the return on investment.
- Usage fees are set by data accessibility and your AI optimization needs
- Integrating an existing company AI or application is seamless and lowers usage costs
- Method I (API fast), Method II (fast) and Method III (slower) data access options
Higgins does not guarantee a specific return. Ask us to model your use cases.
Request a usage estimateA 7-day program to get to know Higgins
- Day 1. Generate your profile so Higgins gets to know you.
- Day 2. Explore your industry work AIs.
- Day 3. Use a work AI on a real task and save it as a favorite.
- Day 4. Add a second work AI to your day.
- Day 5. Create an image for your website or social feed.
- Day 6. Plan a week of meals with the nutrition AI.
- Day 7. Ask your personal AI what is top of mind.
Do we need to prepare our data first?
No. Phase I does not connect to company data. Phases II and III connect incrementally, starting with the repositories your teams already use.
Who manages Higgins after launch?
Your corporation manages the global standard and each function or department manages its own configuration, with optimization at team and associate level.
How do listening sessions work?
At each phase we gather feedback from the teams using Higgins, confirm the biggest challenges, and adjust the next deliverable accordingly.
Ready to get Higgins?
Tell us about your organization and the applications you want connected. We will reply with next steps. To use Higgins you will sign in at higgins.ai.