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Service 18 · CRM

A CRM shaped to how you sell.

Most CRMs fail on adoption, not features: the system mirrors a vendor demo instead of your sales motion. We consult, design, build, integrate, and migrate CRM systems on Salesforce, Microsoft Dynamics 365, HubSpot, and Zoho, shaped around your pipeline, your data, and the people who work it daily.

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CRM engineering across four platforms

A CRM decision is an architecture decision. We work across Salesforce, Microsoft Dynamics 365, HubSpot, and Zoho, and the recommendation comes from your sales motion, data model, and team, never from a reseller margin. Consulting starts with KPIs and scope: what the system must prove, to whom, by when.

The practice covers seven workstreams: CRM consulting, portal development, application development with custom modules and mobile access, UI/UX design, integration services, migration services, and cloud implementation. One team owns the outcome across all of them, so nothing falls between a strategist and a developer.

The discipline carries 15+ years of platform work across the NMG group, including a Salesforce implementation for Tree House Recovery integrated with CTM and KIPU, alongside the HubSpot practice that runs as its own service on this site.

  • Salesforce, Dynamics 365, HubSpot & Zoho
  • Portals, custom modules & API integrations
  • Migrations with cleansing and validation

Integrations that make the CRM the record

A CRM that doesn't talk to the rest of the stack becomes a second inbox nobody trusts. We connect ERP, marketing automation, ecommerce, and accounting systems through APIs with data flowing both ways, verified, so the CRM holds the record your team believes.

Portals extend the system to the people outside it: customer portals, partner portals, and self-service views built on the CRM's data with a permissions model to match. Custom modules cover what the platform's defaults don't, quoting flows, service objects, industry fields, without bending your process to fit a template.

Migration without losing a record

Migrations run as a four-stage engineering job: assessment of what exists, cleansing of duplicates and dead records, transformation into the new data model, and validation that every record reconciles source to target. Nobody discovers missing deals a quarter after cutover.

Testing before deployment runs unit, integration, system, and user acceptance passes, and training lands with each team on the workflows they will actually run. Support continues after go-live, because a CRM is never finished, it evolves with the motion it serves.

Industry constraints designed in

Regulated industries change the architecture itself. Healthcare builds carry HIPAA obligations, EHR and EMR integration, and patient portals. Fintech needs KYC and AML checks and fraud-detection hooks. Real estate wants listing integration and virtual tours; retail and ecommerce connect POS, loyalty, and personalization data.

We've built against each of these constraint sets, so the compliance questions get asked in discovery, not after an audit.

4
CRM platforms in practice
7
Workstreams under one team
15+
Years in CRM & web
150+
Specialists across the group
CRM Development process

The method behind the numbers.

[ 18.1 · PROCESS ]
C/01

Planning & KPIs

Scope, sales-motion mapping, and the numbers the system must prove, agreed before any platform call.

C/02

Design & prototyping

Wireframes and clickable prototypes of the screens your team will live in, tested before build.

C/03

Build & configuration

Database design, API integrations, and workflow and automation rules, under version control.

C/04

Testing & QA

Unit, integration, system, and user acceptance passes before anyone's pipeline moves in.

C/05

Deployment & training

Cutover with reconciled data, then training per team on the workflows they run.

C/06

Ongoing support

The system evolves with your motion: iteration, new modules, and quarterly hygiene.

The full methodology

Phase by phase. Deliverable by deliverable.

CRM projects fail on adoption and data trust, so the method front-loads both: KPIs and stage definitions agreed before configuration, prototypes tested with the people who will live in the screens, and a migration that reconciles every record before anyone's pipeline moves. Phase by phase, with an exit that has to be true.

[ 18.M · METHOD ]
01

Discovery and KPI definition

Weeks 1–2

What we do

  • Map the sales motion end to end: sources, stages, handoffs, and where deals stall
  • Define the KPIs the system must prove and who reads each one
  • Audit the current CRM, spreadsheets, and shadow tools for what actually gets used
  • Set the platform recommendation from requirements, licensing, and stack fit

What you get

  • Requirements and scope document with KPIs attached
  • Platform recommendation with reasoning
  • Data inventory across every current source
Phase exitSales, marketing, and leadership sign the same scope.
02

Architecture and prototype

Weeks 2–4

What we do

  • Design objects, fields, pipelines, and permissions around the mapped motion
  • Wireframe the daily screens: rep view, manager view, executive reporting
  • Build a clickable prototype and test it with the people who will use it
  • Specify each integration's data flow in both directions

What you get

  • CRM architecture document
  • Clickable prototype with test feedback logged
  • Integration spec per connected system
Phase exitThe prototype survives contact with real users.
03

Build and integration

Weeks 4–10

What we do

  • Configure the platform and build custom modules where defaults fall short
  • Develop portals and mobile access where the motion needs them
  • Connect ERP, marketing automation, ecommerce, and accounting through APIs
  • Write automation rules for routing, follow-ups, and stage transitions

What you get

  • Configured system on a staging environment
  • Integration test results with two-way sync verified
  • Automation documented rule by rule
Phase exitStaging passes functional tests with production-shaped data.
04

Migration and acceptance

Weeks 8–12

What we do

  • Assess, cleanse, transform, and validate the legacy data
  • Reconcile record counts source to target, object by object
  • Run unit, integration, system, and user acceptance testing
  • Rehearse the cutover with a rollback plan on paper

What you get

  • Migration log with reconciliation counts
  • UAT sign-off per team
  • Cutover runbook with rollback steps
Phase exitEvery record reconciles and UAT closes with zero blockers.
05

Deployment, training, support

Weeks 12–14 onward

What we do

  • Cut over, then watch data flows and adoption daily through stabilization
  • Train each team on its own workflows, in its own language
  • Stand up the reporting views leadership actually reads
  • Run monthly iteration and quarterly data-hygiene audits

What you get

  • Live system with verified integrations
  • Training materials per team
  • Adoption and hygiene reporting cadence
Phase exitTeams work the system daily without workarounds.
How the engagement runs

The operating rhythm.

[ 18.R · RHYTHM ]

Weeks 1–2

  • Motion mapped and KPIs agreed
  • Platform recommendation signed
  • Data inventory complete

Every week

  • Build demo on staging
  • Open decisions cleared with your team
  • Integration and data checks

Every month

  • Adoption and usage review
  • Iteration backlog shipped
  • Pipeline hygiene report

Every quarter

  • Data-hygiene re-audit
  • Architecture review as the motion evolves
  • License-to-usage check
What we report

Numbers you can run the business on.

[ 18.K · KPIS ]
MetricWhat it meansCadence
User adoptionShare of licensed seats actively working the system each week.Monthly
Data quality scoreDuplicate rate, required-field completeness, and dead-record share.Quarterly
Lead response timeMinutes from inquiry to first logged touch, by source.Weekly
Pipeline hygieneShare of open deals carrying a next step and a close date.Monthly
Migration integrityRecords reconciled source to target, by object.At cutover
Forecast reliabilityVariance between committed forecast and closed revenue.Quarterly

The stack we run for this

  • Salesforce
  • Microsoft Dynamics 365
  • HubSpot logoHubSpot
  • Zoho CRM
  • Google Analytics 4 logoGoogle Analytics 4
  • Looker Studio logoLooker Studio
Questions, answered

Straight answers.

[ 18.3 · FAQ ]
Which CRM platform should we choose?

It depends on your sales motion, data model, and team. Salesforce for deep customization and enterprise ecosystems, Microsoft Dynamics 365 for organizations already on the Microsoft stack, HubSpot for marketing-led teams that want speed to value, Zoho for cost-efficient breadth. We build on all four, so the recommendation follows your requirements, never a reseller agreement.

Custom CRM development or off-the-shelf?

Usually a platform, extended. Salesforce, Dynamics 365, HubSpot, and Zoho each cover the core; custom modules, portals, and integrations close the gap to your process. Fully custom builds make sense only when the process is genuinely unique, and we'll tell you which case you're in after discovery.

Can you migrate us from our current CRM without losing data?

Yes. Migration runs assessment, cleansing, transformation, and validation, with record counts reconciled source to target before cutover. Duplicates and dead records get cleaned in transit, so the new system starts trusted instead of inheriting years of noise.

What systems can you integrate with the CRM?

ERP, marketing automation, ecommerce platforms, accounting systems, and custom applications, connected through APIs with two-way sync verified. The test is simple: your team should never re-key data a connected system already holds.

Do you build customer and partner portals?

Yes. Portals sit on the CRM's data with a permissions model to match: customers see their orders and tickets, partners see their pipeline and materials, and your team stops forwarding spreadsheets.

How do you handle compliance-heavy industries?

Constraints enter at discovery. Healthcare implementations account for HIPAA and EHR/EMR integration, fintech for KYC/AML and fraud detection, and access models follow the data-protection rules your industry carries. Compliance is an architecture input, never a patch.

Ready when you are

Build your unfair advantage.

Talk to a strategist