Revenue enablement, connected

Your sellers need
more than content.
They need a system.

I’m Suchandra. I connect onboarding, methodology, coaching and RevOps so revenue teams can put learning to work.

Based in Berlin. Built for global teams.

The pieces work better together.
Colored-pencil illustration of learning notebooks, a sales funnel, conversation notes and connected workflow cards.
LearningBehaviourPipelineRevenue
Good systems leave evidence.Selected outcomes from my work

21 → 15 days

Ramp to productivity

Pergolux

8% → 72%

Meeting compliance

Pergolux

10% / 15%

Sales performance improvement

Criteo / Cisco, respectively

15

Global enterprise cohorts

Cisco Training Academy

01 / The real work

Where is execution
getting stuck?

It often looks like a training problem.
The useful question is what needs to change in the way work happens.

Connect the pieces.
Change what happens in the field.

01

Ramp is taking too long.

Build role-specific learning paths around the work sellers actually do. Connect onboarding, practice, certification and manager reinforcement.

See the 21 → 15 day onboarding story
02

MEDDPICC isn’t sticking.

Bring methodology into discovery, qualification and live deal conversations. Reinforce it through coaching, playbooks and the workflows teams use every day.

Explore global enterprise enablement
03

Knowledge is everywhere. Except where it’s needed.

Give playbooks, battlecards and launch content a clear home. Design for discoverability and the seller’s moment of need, with ownership that keeps knowledge useful.

Experience: a Highspot knowledge repository at Pesto Tech and a centralized content engine at Criteo.

04

Managers can’t coach every conversation.

Use conversation evidence to identify skill gaps and focus manager attention. My Gong coaching experience informs the next question: where can AI help surface the right moments?

See the proposed AI Enablement Coach
05

Enablement can’t prove its impact.

Define the behaviour you want to change, then connect adoption to pipeline quality and business outcomes. Attendance alone tells only a small part of the story.

Explore the CRM and qualification work
06

AI feels like another tool to manage.

Start with a specific bottleneck. Decide what stays human, what can be assisted, and how you will judge the result. Prototype one useful workflow with review built in.

Visit the AI Enablement Lab

02 / How I think

Start with the problem.
Build for what happens next.

A practical way to turn a revenue execution problem into a system teams can actually use.

01 / Diagnose

Where is revenue execution breaking?

Listen to sellers and managers. Look at the funnel, the calls and the workflows. Separate a knowledge gap from a process or system problem.

In practice

At Pergolux, stakeholder discovery with Sales and Customer Success informed the onboarding rebuild.

A useful question comes first.

What I want to connect: Learning → Behaviour → Pipeline → Revenue

03 / Selected work

Systems I’ve built.
Changes you can measure.

Onboarding, qualification and global enablement. Three stories about making revenue execution work better.

FIELD NOTE / 01Before21 daysRole-specific paths15 daysReadiness over information overload.

Pergolux · Onboarding

From learning the job
to doing the job.

Rebuilt onboarding around role-specific learning paths, informed by discovery with Sales and Customer Success.

21 → 15 daysRamp to productivity
FIELD NOTE / 02QualificationCRM behaviourBetter inputs. Better conversations.

Pergolux · RevOps + Enablement

Make the right behaviour
part of the workflow.

Connected qualification fields, CRM audits and HubSpot workflow governance across eight markets.

8% → 72%Meeting compliance

Unqualified leads: 59% → 30% · Funnel audited: €28.3M

FIELD NOTE / 03One shared language.Global consistency. Field relevance.

Cisco + Criteo · Enterprise Enablement

Give global teams
a shared way to sell.

Translated complex products into business-value messaging, playbooks and field coaching, with MEDDPICC and Challenger in Cisco’s programs.

15 global cohortsCisco Training Academy

20+ Cisco assets · 12+ Criteo playbooks, battlecards and assets

Outcomes reflect the experience documented in my CV. View the full context

04 / AI Enablement Lab

More coaching
where it matters.

Exploring where AI and automation can help an enablement practitioner make human judgment go further.

Coming next · Concept

AI Enablement Coach

Managers cannot review every customer conversation. Which moments most need their attention?

The proposed workflow turns conversation evidence into draft coaching suggestions, with a manager making the decisions.

Use an approved transcript to identify MEDDPICC evidence, competency signals and possible skill gaps. Surface specific moments for review, with links back to the evidence.

Proposed experiment. No deployed coach or evaluated results yet.

A proposed architecture

  1. Conversation transcriptGong or an approved source
  2. n8n workflowPrepare and route the input
  3. LLM analysisMEDDPICC + competency evidence
  4. Skill gaps + recommendationsDraft suggestions tied to the transcript
  5. Manager insight + reviewDecide what to coach, and how
AI finds signals. People make the call.
Built

AI-assisted content workflows

Enablement and content processes using Claude, Gemini, n8n and Zapier in independent consulting.

Coming next

Knowledge & onboarding assistants

Future directions: better answers at the moment of need, and guided practice for new hires.

Start small.
Keep the human.
Learn from the evidence.

05 / A little about me

A different path.
A connected perspective.

I’m Suchandra Banik, a Berlin-based GTM enablement practitioner. My work spans enterprise technology, ad-tech and PLG teams.

Engineering, Customer Success, learning and RevOps have taught me to look at the whole system: what people know, what processes ask of them, and what actually happens in a customer conversation.

That is the work I keep coming back to.
Making the pieces work better, together.

The thread running through it all
  1. EngineeringSystems.
  2. Customer SuccessCustomers.
  3. LearningBehaviour change.
  4. Sales EnablementRevenue execution.
  5. RevOpsProcess & measurement.
  6. AI, an ongoing explorationScale, with judgment.

Case notes based on my professional experience. Read the CV ↗
Talk about a similar challenge ↗