Employee Productivity · Slack × Claude

Your reps are spending
3 hours a day on the
4th job nobody hired them for.

Five AI skills. Live in Slack. Grounded on your real data Salesforce, Gong, and Snowflake. No new app. No behavior change. 80%+ adoption in the first 2 weeks.

Start a 2-Week Pilot See the five skills
@research @draft @summarize @triage @reconcile
80%+
Pilot adoption ratevs 30–40% for standalone AI tools. Slack-native is why.
75%+
Pilot-to-annual conversionDay 14 usage report carries the close. The data speaks.
2 wks
Fixed-fee pilot. Walk away clean.No sunk cost if adoption doesn't land.
The Hidden Cost

The 4 jobs nobody hired your revenue team for.

These aren't productivity problems. They're structural baked into every rep's daily workflow. And they compound with every quarter of growth.

Hidden Job 01

Account Research

Reps are opening browser-tab ChatGPT on company data. Ungoverned, inconsistent, invisible to leadership and outside your security perimeter.

45–60 min per account · Shadow AI · No audit trail
Hidden Job 02

Follow-Up Drafting

Manual, rep by rep, after every call. Inconsistent quality, 30–45 minutes per email, and reps skip it entirely when the quarter gets busy.

30–45 min per email · Quality varies by rep · Often skipped
Hidden Job 03

Salesforce Data Entry

Manual updates after every call. Stale data in the CRM, poor hygiene, and RevOps assembling pipeline context manually before every forecast call.

20+ min per call · CRM hygiene suffers · RevOps backlogs
Hidden Job 04

Gong Call Summaries

RevOps manually pulling summaries before every forecast call. Three-plus hours of RevOps time per week compiling context that already exists in three systems.

3+ hrs RevOps/week · Pre-forecast bottleneck · Context already exists
The Productivity Leakage Formula
Rep headcount × OTE × 25%
= annual cost of non-selling work
$2.5M
For 50 reps at $200K OTE. Run this on your team it closes the meeting.
Five @mention Skills

In Slack. On your live data.
No new app, no behavior change.

Every skill runs inside Slack via @mention. Grounded on live Salesforce, Gong, and Snowflake data zero-copy, nothing moves. The channel is the product.

@research
Complete account brief in 3 minutes
Company intel, deal history, open opportunities, stakeholder map, and talking points pulled from Salesforce and enriched with live signals. Before: 45–60 min manual.
~55 min saved per account
@draft
Context-grounded email and proposal drafts
Drafts grounded on the actual call notes, deal stage, and account history not blank-page AI. Consistent quality across every rep, every time.
~35 min saved per email
@summarize
Gong call → 2-minute action list
Full call summary, key commitments, objections raised, and next steps surfaced in Slack where the rep already is. 45-minute call into a 2-minute read.
~25 min saved per call
@triage
Pipeline risks surfaced and ranked
Reads the pipeline and flags deals at risk by age, activity gap, and stage velocity before the forecast call, not after. 90-minute RevOps review becomes 10 minutes.
~80 min saved per review
@reconcile
Forecast prep: 3 hours → 20 minutes
Bridges Salesforce, Gong, and Snowflake in one Slack call. Reconciles what the CRM says versus what Gong shows versus what the numbers tell. The skill that doesn't exist anywhere else.
2.5 hrs saved per forecast

The Self-Improving Flywheel

01
ASK
Rep @mentions in Slack any channel, DM, or thread
02
GROUND
Live data pulled from Salesforce, Gong, Snowflake nothing cached, nothing stale
03
REASON
Claude Managed Agent orchestrates plans, routes to the right skill, applies guardrails
04
ACT
Delivers: brief, draft, summary, risk list, or reconciled forecast right in Slack
05
LEARN
Telemetry feeds back to refine the next response. Day 30 beats Day 1.
Every @mention makes the next one smarter.
No plateau the opposite of every other AI tool you've tried.
The 5-Layer Architecture
L1
Slack
@mention, DM, Thread where the team already is
L2
Agent Skills
Task library written once, called by every team
L3
Claude Managed Agent
Orchestration spine · plans · routes · reasons · memory · guardrails
L4
Context Layer
Grounding · permissions · vector search · evals · audit trail
L5
Your Data
Salesforce · Gong · Snowflake stays in your tenant. Zero-copy.
Pilot to Annual

2-week pilot. Fixed fee. Walk-away clean
if the adoption data doesn't land.

The pilot is the offer. Day 14 deliverable is a usage report skills adopted, reps adopted, time-back actuals. 75%+ of pilots become annual contracts. The data closes the deal, not us.

Recommended Start
2-Week Pilot
Fixed Fee
2 weeks · 20 users · 3 skills
20 representative users AEs, RevOps, optionally CSMs. Three skills chosen for highest pain (typically @research, @summarize, @reconcile). Live data connected. Day 14 usage report delivered.
→ Walk away clean. No implementation cost sunk if adoption doesn't land.
Annual Contract
Full Team Deployment
$100K–$300K
ARR · 20–100+ users · all 5 skills
All 5 skills deployed across the full revenue team AEs, RevOps, CS. Full integration: Salesforce, Gong, Snowflake. Annual contract follows Day 14 usage report. 75%+ conversion from pilot.
→ VP Sales + CRO sign-off. 7–9 weeks total from first meeting.
Scale
Enterprise Expansion
$400K+
ARR · 100+ users · cross-functional
Revenue team → CS → operations. Year 2 expansion opens the CIO conversation Data Transformation, Agentic POD, Agentforce Consulting cross-sell. The productivity win becomes the platform wedge.
→ CRO + legal review. CISO session required. 10–14 weeks.
80%+
Pilot adoption (vs 30–40% for standalone tools)
75%+
Pilot to annual contract conversion rate
3 min
Account research with @research (was 60 min)
20 min
Weekly forecast prep with @reconcile (was 3+ hrs)
Who This Is For

Two champions, fast timeline.
VP Sales + RevOps is the buying committee.

Economic Buyer · Primary Champion
VP Sales / CRO / Head of Sales
"I'm carrying the number and my reps are spending 3 hours a day on the work nobody hired them for."
Reps reclaim 2–3 hours of selling time daily. 80%+ pilot adoption because it runs in Slack where they already spend their day. The Day 14 report gives you the number to bring to the board.
Co-Champion
Head of RevOps / VP RevOps
"I'm assembling the pipeline snapshot across 3 systems the night before every forecast call."
@reconcile bridges Salesforce, Gong, and Snowflake in one Slack call. Forecast prep drops from 3 hours to 20 minutes. @triage surfaces pipeline risks automatically before you have to ask.
Technical Validator
GTM Systems VP / CISO
"My reps are using ChatGPT on company data and I can't govern it."
Zero-copy architecture data stays in Salesforce, Gong, Snowflake. Nothing moves or duplicates. Runs through Salesforce's Einstein Trust Layer. SSO + full audit trail from Day 1. CISO sign-off in one session.
Expansion Champion
VP Customer Success
"CS is manually summarizing Gong calls and building QBR decks by hand we can't scale this."
@summarize turns a 45-minute Gong call into a 2-minute action list. @research pulls full account context before every QBR. CS team gets back 4+ hours per account review. Add-on in Year 1, expansion driver in Year 2.
About Teqfocus

We build the integration layer
that internal teams can't finish.

Teqfocus is a full-stack Data, AI, and Application transformation partner Salesforce Summit Partner, and the team that ships the Salesforce + Gong + Snowflake data integration layer that most internal builds stall on.

Slack × Claude is built on a five-layer architecture with a Claude Managed Agent and a Context Layer connecting your live business data. You keep the IP. We ship what your internal team couldn't finish.

Ready to give your team back
the hours they're losing every day?

2-week fixed-fee pilot. 20 users. 3 skills on your live data. Day 14 usage report. Walk away clean if the adoption data doesn't land no questions asked.

Start a 2-Week Pilot
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