ChainSkillz helps procurement professional automate workflows using tools they use everyday—Word, Excel, Outlook—with CoPilot.
Too many manual documents
Too much copy/paste between old templates
Unclear on where AI fits—without creating chaos or risk
ChainSkillz makes this real—with specific use cases, training, and templates.
Drafting RFPs + SOWs faster (Copilot or ChatGPT)
Generating vendor evaluation templates and summaries
Specification development using past data and policies
Documenting purchasing justifications for audit-readiness
All workflows run in the tools you already use, everyday: Word, Excel, Outlook, and SharePoint.
RFP automation
Spec generation
Vendor scoring
Live sessions + replays
Prompt libraries
Certification pathway
Weekly drops
Peer feedback
Early access to builds
A sourcing team was struggling to assess supplier quality using subjective evaluations and outdated audit forms.
Used AI to standardize evaluation criteria and auto-score supplier submissions based on performance, certifications, and consistency.
Cut manual review time by 60%, improved audit consistency, and flagged one underperformer before a major renewal.
This gave us a scalable way to grade suppliers without reinventing the wheel for every RFP.
A procurement analyst needed to present insights but was overwhelmed with complex, scattered data.
Built an AI prompt to summarize 10+ data sources into a brief tailored to execs.
Saved 4+ hours, delivered a 1-page summary, and helped finalize next-quarter budgets.
I usually stress about forecasting reviews. This time, I walked in confident and ahead of schedule.
A public sector team needed a roadmap for a complex category but didn’t know where to start.
Used AI to analyze contract history and market data to generate a maturity profile and strategy draft.
Built a foundational strategy in 1 session — shared with executives as a model.
This made a strategic deliverable actually feel doable — and it impressed our leadership.
Procurement was manually reviewing contracts for red flags — slow and error-prone.
Created an AI prompt to flag risky terms like indemnification gaps and auto-renewals.
Found two critical issues in minutes — prevented potential 5-figure losses.
We would have missed these without AI — and they would have cost us tens of thousands.
Supplier cited market changes for a price hike, but team lacked leverage to counter.
Used AI to pull indexes and trends to justify a counterproposal.
Negotiated a 4% reduction and improved documentation quality.
This gave us real leverage in the conversation — and saved our team both money and face.
47 suppliers in one category without clarity on overlap or value.
Used AI to cluster vendors and identify consolidation opportunities.
3 consolidation moves identified — worth $175K in annual savings.
The visual AI output helped us finally make the case to reduce vendor bloat.
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