May 2026
Sparq
Workforce AI
Enter your access code to view
the board pitch
Access Code
Incorrect password. Please try again.
Secure
Confidential
Enterprise
Powered by Synergis
S
Sparq × Synergis
AI-native workforce intelligence

Workforce AI builds the
people who do the work.

See skills. Close gaps. Staff smarter. Synergis × Sparq · Board pitch, Q2 2026
Phase 1 complete

We came to assess.
We found an opportunity.

11
stakeholder interviews
477
survey responses
13
reports delivered
What we delivered
Data analysis, workforce sentiment, maturity assessment, learning pathways,
employee explorer, 24-month roadmap, KPI framework, and more.
What we found
The gap isn't training. It's knowing what people can do and putting them where they deliver.
What we heard

Every stakeholder. A different ask.

Everything from "AI for dummies" to "revenue engine." This is what we walked into.

Replace Coursera
Role pathways
Token-level usage
AI for dummies
Measure ROI
Skill heat maps
Colleague profiles
Margin visibility
Resume parsing
SOW skill extraction
Shop-to-project speed
Upskill juniors
Competency assessment
Leadership dashboards
KPI framework
40% efficiency goal
Change management
Hands-on projects
Rippling sync
Staffing engine
Shop integration
Learner dashboard
Executive view
LLM governance
Mentor directory
What it meant

Every conversation pointed
the same direction.

One platform. Four outcomes.

See
Know who can do what
Live skill profiles from real work. Not self-assessments or stale resumes.
Grow
Close gaps fast
AI finds what's missing and fills it. People get better, faster.
Staff
Staff the right people
Match skills to projects. Faster ramp-up. Less shop time. Higher utilization.
Sell
Build an asset
The platform you build becomes IP. That changes your exit math.
Finally visible

Skills you can't see.
Skills you can.

Every
AI conversation
Every
deliverable
Every
skill applied

becomes visible. Staff smarter. Move faster. Build an asset.

The skills gap

AI is ahead. People need to catch up.

Sparq invested in AI tools, but skills haven't kept pace. Closing that gap is the opportunity.

People →
AI →
Tech gap
Aligned
Foundation
People gap
5
4
3
2
1
1
2
3
4
5
Sparq today
Target
Maturity scale
1Heroes
2Defined
3Managed
4Measured
5World Class
Skills you can see

Meet Workforce AI

See what your people can do. Close gaps. Staff smarter. Own the platform.

01
See who knows what.
AI sessions, projects, and deliverables all captured and scored into a live skill profile.
02
Close gaps before they slow you.
AI spots missing skills and fills them. People get better. Projects move faster.
03
Staff with confidence.
Match skills to projects. Know who's ready. Put the right people where they deliver.
Built by
Synergis
For
Sparq
No manual work

Skills intelligence runs itself

Skills get measured. Gaps get flagged. People get matched to projects. All automatically.

1
Capture
Work gets captured.
Every AI session, project, and deliverable logged automatically.
2
Score
Skills get scored.
A live score for each person, built from real work.
3
Find
Gaps get flagged.
Missing skills surfaced before they slow things down.
4
Match
People get matched.
Right skills, right project. Gaps closed before they slow you down.
5
Report
Progress gets tracked.
Who's ready, who's not. Always current.
How it feels

The right person finds the right project

Tap the steps to see each screen.

8:47● ● ●
MR
Today
Mon Mar 23
Your gap for today

Discovery needs work.

Here's a 12-minute drill before your 9am call.

M
T
W
T
F
S
S
Pattern fired · 12 min
Discovery drill before the OTR call
Your last three calls averaged four clarifying questions. Generac landed on nine.

The app noticed

2 new
W
You shipped the Assert.IQ spec Friday. +22 points toward Verify.IQ Engineer.
Today
Profile
Skills
People
Profile
MR
Maya Rodriguez
Intelligence Studio · Senior II
Proficient · Lvl 21,250 XP
550 XP to Specialist · synced with Rippling

Your skill scores

All →
Agentic design
82
Assert.IQ QA
74
Ask.IQ analyst
66
Discovery
46
Governance
31

Certification tracks

3 active
A
Anthropic Builder
3 of 5 · due May 12
60%
W
Verify.IQ Engineer
Client Accelerator · 2 of 6
33%
S
SnowPro Gen AI
Snowflake Elite · Q3
0%
Today
Profile
Skills
People
Ask.IQ
AI chat that builds your skills
Maya asked
How do I position governance for the OTR CFO? Shadow tools flagged.
For CFOs with audit flags, lead with traceability, not capability. Generac had five branches from model ownership.
Snowflake · 4 governed tables · 2 engagements
You're at 46 on Governance. This call needs 70+.
12-min drill closes 18 points before 2pm. Coach: Ken Cavner.
Today
Profile
Ask
People
Staffing & shop
39%
Org-wide skill readiness
↑ 7 pts · 90 days
Daily usage
56%
+7 pts
Client-ready
15%
priority
Champions
39
+4 mo
Never engaged
437
−12 wk

By practice

30d
Intelligence Studio
42 · 68 avg
68
+8
Product Eng
280 · 54
54
+6
Today
Profile
Ask
Ops
Discovery drill
3 of 5 · +40 XP
Scenario 3 of 5 · Financial services
What do you ask next?
The CFO saysWe're exploring AI but can't create new risk. Our audit committee flagged three shadow tools.
A
Which three tools, and what made them shadow?
B
Have you looked at enterprise governance?
C
We can help build a governance framework.
D
What does your audit committee care about?
Coach · after you answer
Ask before you pitch. How they describe "shadow" tells you their risk tolerance.
Today
Profile
Skills
Ask
People
Skill detail
EngineeringAgentic

Agentic design

82/ 100+11 · 30d
Proof from your work
Claude Code · 247 requests
Anthropic · 30d
+24
Building AI Agents · done
Course · Feb 14
+18
OTR fleet engine · shipped
Assert.IQ passed
+22
Bedrock deploy · live
AWS · SageMaker
+12
Today
Profile
Skills
Ask
People
People
Find who has the skill you need
KC

Ken Cavner

Sr Principal · AI · 91

Office hours this week

JL

Jordan L. · Mon 2–3

Claude Code workflows

RP

Rachel P. · Tue 2–3

Client AI strategy

MJ

Maya J. · Wed 1–2

Prompting · tools

Champions

39 →
ZN

Zain Naboulsi

Principal · prompting

JH

Jarius Hayes

Principal · Assert.IQ

Today
Profile
Skills
Ask
People
Card of the day
Prompt technique · 90 seconds
Show your work, before the answer.
Make the model list assumptions first. Catch hallucinations before the client does.
Before answering, list the assumptions and sources you'd cite. Then answer, flagging extrapolations.
Swipe for tomorrow ›
Today
Profile
Skills
Ask
People
Work captured
This morning
Drill queued for 8:50
Discovery prep · 12 min
8:12
Snowflake module auto-completed
Cortex query shipped · +30 XP
7:58
Yesterday
Jordan K. accepted mentor request
First session Fri 3:30
4:12p
Agentic design · +11 points
OTR commits pushed past 80
2:33p
Anthropic cert · checkpoint 3
2 modules left · due May 12
11:04a
Today
Profile
Skills
Ask
People
9:14● ● ●
Credential earned
W
Verify.IQ Engineer
Earned by work, synced to HR.
Synced to Rippling HRIS
+50
XP
82
Score
5
Signals
M
My team
12 colleagues
Your team's readiness.
Who's ready, who needs help.
8
On track
3
Needs nudge
1
At risk

Your 12

by score
AT
Alex T.
81
On track
JK
Jordan K.
72
On track
MR
Maya R.
58
On track
JM
Jess M.
54
Nudge
SP
Sam P.
28
At risk
Today
Profile
Skills
Ask
Team
01 · CAPTURE
Work gets captured
02 · SCORE
Skills get scored
03 · FIND
Gaps get flagged
04 · STAFF
People get matched
05 · REPORT
Progress gets tracked
What you get

Intelligence that compounds

Six things that turn skills data into better staffing, faster delivery, and real IP.

Live skills
Every skill, always current.
Updated with every conversation, every deliverable.
Automatic gaps
Missing skills found before they block work.
No waiting for reviews. Gaps surface in real time.
Intelligence that compounds
Content generated for each person, each gap.
Not static courses. Living content.
Predictive staffing
Know who's ready before you ask.
AI surfaces talent before requisitions open.
Instant delivery
Gap found. Action taken.
No enrollment. No catalog. Just learning.
Smarter over time
The more you use it, the smarter it gets.
Every interaction makes the next recommendation better.
What this enables in 12+ months
SOW skill extraction
Staffing engine
Shop-to-project matching
Leadership dashboards
Margin visibility
External licensing
No new systems

Built on what Sparq already runs

No new infrastructure. Workforce AI layers on top of platforms you already have.

Engagement System
SparqOS
Evidence
Build to validate
Commitment
Build to operate
Production Learning
Signal from what's live
A
Anthropic
AI
Claude for chat, content, inference
S
Snowflake
Data
Warehouse, Cortex ML, analytics
W
AWS
Infra
Compute, APIs, deployment
R
Rippling
HR
Roles, credentials, org data
What we're building
Workforce AI
See skills. Close gaps. Staff smarter. Own the platform.
Stop the bleed

Build the skills engine. Then sell it.

Workforce AI solves your problem first, then becomes a product you can sell.

Spend currently bleeding
Generic courseware
Coursera, LinkedIn Learning. Low completion, no skill signal.
?
Audit
Ungoverned AI tool spend
AI tool credits (Claude, Gemini, etc.) without attribution or learning signal.
?
Audit
Slow ramp-up for new hires
90 days to client-ready. What does 36 fewer days × ~80 hires recover?
?
Model
Shop time between projects
Colleagues waiting for their next engagement. What if they were ready for it?
?
Model
The upside
Workforce AI
Skills visible, gaps closed, people matched to projects. One system that works instead of four leaking ones.
TBD
Recapturable spend
TBD
Investment ask

The strategic case stands on its own. The recapture just lowers the net cost.

The exit multiplier

Software IP. Higher multiple.

You're building toward an exit. A proprietary platform changes the math.

Valuation multiples
Pure services
Staff aug, consulting
1–2×
Services + software
Blended revenue, some IP
3–5×
Product-led + services
Recurring revenue, defensible IP
5–10×
AI-native platform
Proprietary data, compounding models
10–20×+
The asset you're building
Workforce AI
A proprietary skills intelligence platform
Skills data
Verified, role-specific
Usage signals
Real adoption patterns
Staffing logic
Match skills to work
Client-ready
Licensable to others
Every verified skill and usage signal builds proprietary data that competitors can't replicate. That's an AI moat.
The ask

Fund Workforce AI

5 phases. 14 months to full deployment.

Q2 '26
Q3 '26
Q4 '26
Q1 '27
Q2 '27
Q3 '27
Assess
DONE
Launch
NOW
Integrate
Grow
Nurture
MILESTONES
Pilot MVP
Integrations
Full deploy
Revenue
Scale
Extend
The roadmap
Assess
Complete
2 mo
Launch
Build + pilot
3 mo
Integrate
Rippling + SSO
3 mo
Grow
Full deploy
3 mo
Nurture
Scale + license
3 mo
3
mo to MVP
12
mo to revenue
24
mo to license

$???K to get started

Ready to discuss investment and next steps.
Workforce AI

Build the people
who do the work.

See skills. Close gaps. Staff smarter. Own the platform.

Workforce AI
Synergis × Sparq
01 / 15