Wisdom Labs

Enterprise Knowledge Retention with Agentic AI

In collaboration with the visionary co-founders of Eightfold—leaders in talent intelligence—this cutting-edge Agentic AI platform is redefining how organizations safeguard and leverage their institutional knowledge.

Wisdom Labs: Tacit Knowledge Preservation Through Digital Twins

What Wisdom Labs Does

Wisdom Labs helps organizations capture, retain, and activate tacit knowledge using AI-powered Digital Twins. These Twins are trained on data from core enterprise systems, including email, Slack, Microsoft Office, JIRA, and calendars, and are powered by large language models (LLMs).

This means they don’t just store documents or data—they contextualize knowledge in real-time and deliver it when and where it’s needed, maintaining continuity and performance even when employees leave or change roles.

Tacit Knowledge Made Actionable

Tacit knowledge is notoriously difficult to retain, including the know-how, insights, and decision-making instincts that employees build over time but rarely document. Wisdom Labs addresses this challenge by:

Ingesting data from daily tools that employees already use
Creating a responsive, AI-backed “twin” that can answer questions and surface insights with full context
Making institutional knowledge available to anyone, anytime, even after an employee departs

Strategic Value: Why It Matters

In modern enterprises, especially during talent churn, mergers, or role transitions, Wisdom Labs acts like a knowledge insurance policy:

Reduces onboarding time and dependence on live mentors
Protects business continuity during exits or reorganizations
Supports customer, partner, and internal alignment without skipping a beat

Explore Roles and the Business Impact

Director of Finance & Purchasing – Key Results

Reduced procurement processing costs by 15%.
Decreased purchase order cycle time from 5 days to 2 days.
Improved budget compliance by implementing real-time spending insights.

KPI	Before	After
Procurement cost per order	$500	$425
Purchase order cycle time	5 days	2 days
Budget compliance rate	80%	95%

Director of Content Marketing – Key Results

Increased content output by 25% with the same team size.
Cut content approval time from 4 days to 1 day.
Boosted content engagement by 40% through targeted insights.

KPI	Before	After
Content pieces per month	20	25
Content approval time	4 days	1 day
Avg. engagement per post	1000	1400

Senior Customer Contact Center Leader – Key Results

Reduced average call handling time by 20%.
Increased first-call resolution rate from 70% to 90%.
Improved customer satisfaction scores by 15%.

KPI	Before	After
Avg. handle time (mins)	5	4
First-call resolution	70%	90%
Customer satisfaction (CSAT)	85%	95%

Sales Representative – Key Results

Increased sales per representative by 30%.
Shortened sales cycle length by 20%.
Improved lead conversion rate from 15% to 25%.

KPI	Before	After
Sales per month (per rep)	10	13
Average sales cycle	50 days	40 days
Lead conversion rate	15%	25%

Talent Recruiter – Key Results

Reduced time-to-hire by 40%.
Increased candidate pipeline by 50%.
Lowered cost-per-hire by 30%.

KPI	Before	After
Time to hire (days)	30	18
Qualified candidates per opening	20	30
Cost per hire	$5000	$3500

HR Business Partner – Key Results

Improved employee retention rate by 20%.
Boosted employee engagement scores by 15%.
Reduced HR response time to inquiries by 50%.

KPI	Before	After
Annual turnover rate	20%	16%
Engagement score (out of 5)	3.5	4.0
HR inquiry response time	48 hrs	24 hrs

Professional Services Project Manager – Key Results

Increased on-time project delivery by 25%.
Reduced project cost overruns by 30%.
Improved client satisfaction ratings by 15%.

KPI	Before	After
On-time delivery rate	60%	75%
Avg. project cost overrun	15%	10%
Client satisfaction (out of 10)	8.0	9.2

AI/ML Engineer (hard-to-fill) – Key Results

Shortened time to fill AI/ML roles by 30%.
Increased successful project delivery capacity by 20%.
Reduced reliance on external contractors, saving 25%.

KPI	Before	After
Time to fill AI/ML role	90 days	63 days
Projects per quarter per engineer	5	6
Outsourcing cost per quarter	$100k	$75k

Cybersecurity Lead (hard-to-fill) – Key Results

Shortened cybersecurity role hiring time by 25%.
Improved incident response time by 40%.
Achieved 100% security compliance (up from 90%).

KPI	Before	After
Time to fill cybersecurity role	80 days	60 days
Incident response time	5 hours	3 hours
Security compliance score	90%	100%