CRM consultingAI adoption

AI CRM consulting for revenue operations

We are AI-native CRM consultants. We put the AI already inside your CRM to work for marketing, sales and service. Where it stops, we build the agent.

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120+CRM projects delivered

12+Years since 2014

3In-house AI products

Published AI and CRM work

Mangal Prabhat's knowledge portal and GreenAct India's feedback analysis are the published AI builds, and SVP Worldwide's Dynamics 365 build, delivered with Coresolute LLC, included Copilot for lead scoring. Chanel and OSM Worldwide are Salesforce engagements, not AI work. Every logo opens its case study.

The AI readiness checklist

Lets Score Your CRM for AI readiness

The AI adoption readiness checklist is an Excel workbook with three sheets: marketing, sales and customer support. Each sheet has ten items you score from one to ten, and totals a score per team. It is a self-assessment, not an audit. Every sheet tests the same five things:

Nobody calls unless you ask. The workbook is yours to keep.

Data

Whether customer, prospect and ticket data is clean, structured and in one place.

Process and metrics

Whether sales stages, qualification criteria, SLAs and KPIs are defined before AI acts on them.

Integration

How well the CRM connects to your marketing, email, calling and support tools.

Current tooling

The automation, analytics and AI you already run, and how much of it gets used.

Team and leadership

Whether the team will act on AI suggestions, and whether training, budget and sponsorship exist.

Platform coverage

AI on all five platforms, and where we build

Four of the five platforms ship AI under their own names, and the names keep changing. Much of the agent work is billed by usage, in credits, not by seat. We set up the one you run, and plan the usage first.

Salesforce Agentforce

Agents that qualify leads, draft follow-ups and answer routine cases from your Salesforce records.

Microsoft Copilot

Lead scoring and record summaries inside Dynamics 365, plus Copilot Studio agents for repeat work.

HubSpot Breeze

Breeze Assistant for research and content, plus Agent Hub agents for chat and prospecting.

ServiceNow Otto

The AI formerly called Now Assist, for case summaries, resolution notes and knowledge answers.

Open-source CRM

Little AI ships in the box, so we connect the model you choose.

Custom agents

Built where the platform's AI stops, like our published knowledge portal and sentiment classifier.

All six read the same CRM records. The readiness review checks those records before anything goes live.

What's included

How Vegacompass AI CRM Consulting Works

Six deliverables, in running order. Your readiness review decides which ones you need:

AI readiness review

We check duplicates, field completeness, stage definitions and access rules, then write down what must change before AI goes live.

Use-case shortlist

We rank the jobs worth automating, from lead scoring to case summaries, and drop those your data cannot support yet.

Native AI setup

We configure the AI already inside your platform, from prompts and knowledge sources to the actions an agent may take.

Custom agent build

We build the agent no native tool covers, such as document search or feedback analysis, and connect it to your CRM.

Guardrails and permissions

We set what each agent can read, what it can change, and when it must hand off to a person.

Adoption and measurement

We roll the tools out team by team, train people on their own records, and track who actually uses them.

The practice

AI is Ready, But What About Your Data, Process, & Team

An AI pilot demos well on tidy sample records. Then it meets the real CRM: duplicate accounts, empty fields, stages each rep reads differently, a handoff nobody wrote down. The answers come back wrong, the team stops trusting them, and the pilot stalls.

We start with the records, the process and the permissions, before anyone switches a model on. Then we set up the AI your platform already has: Agentforce, Copilot, Breeze or Otto. A custom agent comes last, for the job no native tool covers.

We are CRM-only, and for AI, that is the point. An agent inside a CRM inherits its objects, its permissions and its automations, so the CRM work is most of the AI work.

Data-firstRecords, process and permissions

Native-firstAll platforms nowadays has AI built-in

Senior-ledA consultant with a decade in CRM leads it

Demo video

AI agents handling support cases in Salesforce

Case study

GreenAct India: AI sentiment analysis, wired into case management

GreenAct India, a green-services organization, wanted faster, more accurate insight from survey, email and social media feedback. We automated the sentiment analysis and tied it to its cases.

The build, in four parts:

AI sentiment analysis that processes customer feedback from surveys, email and social media.
Automatic classification of each piece of feedback as positive, negative or neutral, against criteria set in advance.
An integration with GreenAct's case management platform, so feedback is analyzed in real time.
Monitoring tools for sentiment trends, used to plan how the team engages its community.

Results, as the published case study states them:

40%

more efficient feedback analysis, with quicker responses to community needs

30%

fewer manual errors, as sentiment classification became more accurate

*Delivered as Vegacompass.

Read the GreenAct case study

50%

better search efficiency at Mangal Prabhat, as published*

Read that case study

In-house products

AI Agents, Innovations, & Tools by Vagacompass Team

Three AI products our own CRM team has built:

01CRM AI-ElementsSix AI elements for your CRM records, including lead scoring, summaries, sentiment and document analysis.→02AI Agent SalesmanA sales agent for Salesforce that takes leads from MQL to SQL and recommends upsells.→03Vega Support AISupport agents that take a customer call from audio to case to resolution, in Salesforce.→

Why Vegacompass

AI-native CRM Partner for Revenue Operations

Four reasons teams bring their CRM AI work to us:

Partnered on AI and CRM

We are a Claude partner. On the CRM side: Salesforce Consulting Partner; Microsoft Solutions Partner, Business Applications; HubSpot Certified Partner; Certified Partner of ServiceNow.

The advisor builds the agent

The consultant who recommends an agent also builds it, then watches the usage numbers. Advice gets careful when the advisor inherits the result.

Audited on security and privacy

An agent reads customer records, so who handles them matters. We are ISO/IEC 27001 Certified, SOC 2 Type II, GDPR Compliant and HIPAA Ready.

One approach across five CRMs

If you run more than one CRM, one team covers all five platforms, so guardrails and measures stay the same everywhere.

Get in touch

Let Us Help You Adopt AI in Your CRM

Tell us your CRM, which AI is switched on, and the job you want done. We reply with a time to talk, and with a straight answer if AI is not your next step.

The conversationThirty minutes with a senior consultant on your CRM, your data and the AI you have.
Written point of viewWhich jobs AI can take on now, which must wait, and what we would check first.
A scoped proposalWe quote the readiness review on its own. The pilot is estimated from its diagnosis.

Common questions

Have a Question?

It covers getting AI working inside the CRM you run. Vegacompass is a CRM-only, AI-native consulting firm, not an AI platform vendor. We review readiness and shortlist use cases such as lead scoring, forecasting, personalized outreach and case summaries. We then set up the platform's own AI, build agents where needed, and measure adoption.

Both, and native comes first because it is usually the smaller job. Where no native tool fits, we build a custom agent or use one of our own products: CRM AI-Elements, AI Agent Salesman or Vega Support AI. Sometimes a workflow rule is enough, and we say so.

All five platforms we consult on: Salesforce, Microsoft Dynamics 365, HubSpot, ServiceNow and open-source CRM. That means Agentforce, Copilot and Copilot Studio, Breeze Assistant and Agent Hub, and Otto, formerly Now Assist. We sell none of them, so the advice can be to switch on less.

Not all of it. Only the records a use case reads: no duplicate accounts, key fields filled, stages that mean one thing to everyone. The readiness review names those records and what is wrong with them. Where the fix is large, CRM data cleanup runs first.

By planning usage before rollout. Much agent work is billed by usage, in vendor credits, so a busy agent costs more than a quiet one. We estimate volumes per use case, then set the limits and alerts the platform offers. Our own work beyond the review is quoted once the review sets the scope.

That is settled before go-live, not after. Native AI works under your CRM vendor's data terms and the permissions you give it. For a custom agent, we agree where data is processed before building. We are ISO/IEC 27001 Certified, SOC 2 Type II, GDPR Compliant and HIPAA Ready.

There is no fixed length, because scope and data decide it. The readiness review generally takes two weeks and ends in one written diagnosis. The pilot covers one use case and is sized from that diagnosis, not before it. Rollout then moves team by team.

Against one number we agree on with you before the pilot, such as case handling time or lead response time. We also track usage, because a tool nobody opens cannot move a number. Go-live is not the measure. If the number does not move, we say so and change the setup.