At a glance

RevOps automation that keeps the CRM clean without a cleanup sprint

RevOps automation with AI

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Your code. Your infrastructure. Production guardrails. Built around your workflow. One accountable engineering team.

What RevOps automation covers

What it is

RevOps owns the process and the data, and spends much of its time repairing both. Duplicate accounts, missing fields, leads routed to the wrong rep, stale opportunities. Each is small. Together they undermine every report.

Automation handles them at the point they occur. New records are enriched and checked for duplicates when they arrive. Leads are scored and routed by rules you set. Opportunities with no activity trigger an alert. Every write goes through validation and is logged, so you can see and undo what changed.

AI helps in the parts rules cannot do: reading emails and call notes, classifying inbound requests, matching messy company names. Rules and code handle the rest, because they are cheaper and easier to audit.

Is this the right fit?

Fit check

Where this wins

RevOps teams spending hours on CRM cleanup

Deduplication, field standardization and enrichment running continuously.

Teams with unclear lead routing

Rules and scoring that send the right lead to the right person quickly.

Leaders who do not trust the pipeline report

Hygiene alerts and consistent inputs, so forecast conversations start from clean data.

RevOps teams spending hours on CRM cleanup Deduplication, field standardization and enrichment running continuously.
Teams with unclear lead routing Rules and scoring that send the right lead to the right person quickly.
Leaders who do not trust the pipeline report Hygiene alerts and consistent inputs, so forecast conversations start from clean data.

When NOT to use this

There is no agreed sales process. Automating a process nobody agrees on creates arguments faster.
You expect AI to forecast revenue for you. We improve the inputs, the forecast stays a human judgment.
Your CRM is being replaced within months. Migrate first, automate after.

How a RevOps automation project runs

How it works

Audit the data first, because automation on top of unmapped fields spreads the mess.

Typical timeline

The core loop first, scoped after the audit call

Stack we build with

n8n · TypeScript · Python · Claude · PostgreSQL · Webhooks · Your CRM and marketing tools

Data and process audit

Profile the CRM for duplicates, missing fields and stale records, and map how leads flow today.

Rules and standards

Agree field standards, scoring criteria and routing rules with sales and marketing.

Enrichment and dedupe

Build enrichment and deduplication with validation, tested on a copy first.

Routing, scoring and alerts

Turn the agreed rules into live routing, scoring and hygiene alerts.

Monitor and tune

Review the change log and tune rules with the team.

01 Data and process audit Week 1 Profile the CRM for duplicates, missing fields and stale records, and map how leads flow today. Deliverable Data quality report and routing map
02 Rules and standards Week 1 to 2 Agree field standards, scoring criteria and routing rules with sales and marketing. Deliverable Rules document
03 Enrichment and dedupe Week 2 to 4 Build enrichment and deduplication with validation, tested on a copy first. Deliverable Tested pipeline
04 Routing, scoring and alerts Week 4 to 6 Turn the agreed rules into live routing, scoring and hygiene alerts. Deliverable Live routing and alerts
05 Monitor and tune Review the change log and tune rules with the team. Deliverable Monthly review

How clean is your CRM really?

We profile a sample for duplicates, gaps and stale records and tell you which fixes save the most hours.

What RevOps teams automate first

Use cases

Marketing Operations Automation

Customer Support Automation

Creative Automation

CRM enrichment and updates

Records enriched and leads scored automatically from research and call data.

Inquiry routing

Inquiries scored, routed and followed up in the right language.

Signals into targeting

Visitor signals flow into outbound targeting with no manual step.

What your first 30 days look like

First 30 days

A data quality report and one hygiene flow running on a CRM copy.

Data quality report

Week 1

Duplicates, missing fields and stale records counted, with the biggest sources identified.

Rules agreed

Week 2

Field standards, scoring criteria and routing rules signed off by sales and marketing.

Dedupe and enrichment tested

Week 3 to 4

Run on a copy of the CRM, with every proposed change reviewable.

Go-live plan

Day 30

Which flows go live first and what gets logged and reversible.

Scope and exclusions

Scope

In scope

Enrichment and deduplication with validation
Lead scoring and routing rules wired to your CRM
Pipeline hygiene alerts for stale and incomplete records
Consistent reporting inputs and field standards
Audit log of every automated change

Not in scope

CRM migration or replacement
Defining your sales process or territories for you
AI-generated revenue forecasts presented as fact
Bulk purchase of contact data

Results from comparable work

Results

Achieved results only. Clients that have not agreed to be named are described instead.

Agents do pre-call research, update the CRM and score leads automatically. Research time per prospect dropped and the sales team's conversion rate went up.

Every inquiry is scored and followed up automatically in the right language, and the full journey from inquiry to treatment is tracked in one place.

One engineer sat inside the live product and the outbound tooling at once. Visitor signals now flow straight into outbound targeting with no manual work, and the engineer became a standing part of the product team.

How this is priced

Pricing

We do not sell fixed packages sight unseen. The number depends on how many systems the work touches, and the audit call tells you that number before you commit to anything.

Single workflow

Low four figures

One focused workflow live in one to two weeks, with error handling, retries and monitoring built in from day one.

Full system

Scoped after an audit call

AI steps, monitoring and integrations across several systems, typically four to eight weeks. No template price, because scope drives the cost.

Embedded engineer

From $60,000/year

A dedicated engineer building and maintaining the work inside your team, instead of a scoped project.

Make the pipeline report trustworthy

Next step

Book a free audit call and leave with a data quality readout and a scoped first flow.

Tell us what your CRM data looks like today

A 30 minute call. Share your CRM, lead flow and biggest data problem, and we tell you what to automate first.

In this call, we'll walk through your project scope, timeline, and goals - so we can both check if we're a fit. No obligation, no slide deck, just a working session.

Consultation

This call is for teams ready to move. If that's you, pick a time.

Book a Call

Talk to an AI engineer

Choose a time for your free 30-minute strategy call. Live availability is shown in your timezone.

Book a 30min Free Strategy Call

In this call, we?ll walk through your project scope, timeline, and goals?so we can both check if we?re a fit. No obligation, no slide deck, just a working session.

Don?t want a call? Email info@manasflow.com

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One connected approach, from the first workflow to a company that runs smarter.

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Before we build

At a glance questions

Practical answers about scope, delivery, ownership, and working with ManasFlow.

What is RevOps data automation?

RevOps data automation keeps CRM records accurate without manual cleanup. New records are enriched and checked for duplicates when they arrive, fields are standardized, and stale or incomplete opportunities trigger an alert. Every automated write is validated and logged, so the reports built on the CRM start from data the team trusts.

Can you automate pipeline and outbound reporting for RevOps?

We automate the inputs those reports read from. Fields and stages are standardized, and stale or incomplete records are flagged before they skew a pipeline or outbound report. The reports stay in your CRM or BI tool. We do not present an AI-generated revenue forecast as fact.

Can AI clean our CRM automatically?

Most of it, with limits. Duplicates, formats and missing fields can be handled by rules and enrichment. Ambiguous merges go to a person. Every change is logged and can be reviewed.

Do you replace our lead scoring model?

We implement the criteria you agree on and can add signals from product and site data. We do not claim a model predicts revenue. We show which signals lead to meetings and tune from there.

Which CRM do you support?

Any CRM with an API, connected with scoped credentials. We work in the CRM you have instead of asking you to move.

What does it cost?

A single focused workflow starts in the low four figures. Full systems are scoped after an audit call. An embedded engineer starts from $60,000/year.

How is this different from hiring a GTM engineer?

RevOps automation focuses on data quality, routing and reporting. A GTM engineer also builds signals and outbound systems. See the hire a GTM engineer page if you want the full loop.