ACI Infotech
ArqAI Labs
Start a project
ACI Infotech

Enterprise data and AI, engineered and run in production.

ACI Infotech is an enterprise data and AI engineering firm headquartered in Somerset, New Jersey, with delivery hubs worldwide. We build the data foundation, put AI on top of it, and run both in production for enterprises in financial services, healthcare, retail, manufacturing, and energy.

Start a project

Services

  • Data Engineering
  • Applied AI & ML
  • Cyber Security
  • Cloud Modernization
  • Managed Operations
  • App Development
  • Quality Engineering
  • Advisory & Strategy
  • GCC & Captive Centers
  • All services

Products & Platforms

  • ACI Interactive
  • ArqAI Labs
  • Databricks
  • Microsoft Azure
  • Snowflake
  • AWS
  • Salesforce
  • SAP
  • Microsoft Dynamics 365
  • All platforms

Industries

  • Financial Services
  • Healthcare
  • Retail & Consumer
  • Manufacturing
  • Energy & Utilities
  • Oil & Gas
  • Hospitality
  • Transportation
  • All industries

Company

  • About
  • Careers
  • News
  • Partners
  • Contact

Resources

  • Case Studies
  • Blog
  • Whitepapers
  • Playbooks
ACI Infotech
  • Founded 2006
  • 1,200+ engineers
  • 500+ enterprise projects
  • 11 global delivery hubs
  • ISO 27001:2022
  • CMMI Level 3
  • Great Place to Work Certified

© 2026 ACI Infotech. All rights reserved.

Privacy PolicyTerms of Service

/ Salesforce

Salesforce that runs on one record

ACI Infotech is a Salesforce consulting partner with an Agentforce practice. We implement Sales Cloud, Service Cloud, Marketing Cloud, and Data Cloud working from one customer record, wire the org to your ERP and warehouse through MuleSoft or APIs, and put Agentforce agents to work on data they can actually trust.

  • Salesforce consulting partner
  • Agentforce practice
  • Certified across the clouds
  • ISO 27001
Book a Salesforce org auditSee the case studies
Every touchpointSales activityService casesMarketing touchesCommerce orders

Customer 360

one record per customer

Sales CloudService CloudAgentforce

touchpoint → record → action

Salesforce

Salesforce partner

With an Agentforce practice. We implement what we recommend.

Fix the record first

Make the record true.
Then put AI on it.

Clean fields with owners, documented integrations, reports the team trusts. Fix the record first and everything on top compounds: Sales Cloud sells, Service Cloud resolves, and Agentforce inherits a customer worth knowing.

Salesforce
2.5xEmail engagement

Customer data unified across 600+ retail locations, with email engagement up 2.5x and promotions working 15% harder.

Read the case study

/ What we do on Salesforce

One customer record. Six disciplines.

01

Sales Cloud

Pipeline, forecasting, and CPQ set up around how your deals actually move. Fewer required fields, cleaner stages, and reporting sales leaders actually read. Adoption is designed in, not begged for later.

Sales CloudCPQEinstein ForecastingRevenue reporting

02

Service Cloud

Case routing, knowledge, and Einstein Bots that deflect the easy tickets and escalate the hard ones with context attached. Omnichannel means one queue for agents, not five consoles.

Service CloudOmni-ChannelEinstein BotsKnowledge

03

Marketing Cloud

Journeys built on segments that resolve to real people. Email, mobile, and ads working from the same profile, measured against revenue instead of open rates.

Marketing CloudJourney BuilderEmail StudioSegmentation

04

Data Cloud and Agentforce

Identity resolution turns six conflicting records into one, and Agentforce agents work from that record: qualifying leads, resolving cases, drafting follow-ups. Agents are only as good as the data they read, so we build the data first.

Data CloudAgentforceIdentity resolutionActivation

05

Integration

Salesforce wired to the ERP and the warehouse through MuleSoft, Platform Events, or plain APIs, chosen by latency and volume. Orders and invoices stay in the ERP. Salesforce gets a live view, not a stale copy.

MuleSoftPlatform EventsREST APIsCDC

06

Managed services

Three Salesforce releases a year, handled. Release management, admin support, and ongoing configuration under SLAs, with your team trained so the knowledge stays when the project ends.

Release managementAdmin supportSLAsUser training

Is Salesforce the right call?

Usually, when you want one platform to carry sales, service, and marketing, and admins rather than engineers to run the roadmap. When your team wants to compose best-of-breed tools on a warehouse instead, that is a real architecture too, and we build it. The recommendation follows your operating model, not our certification wall.

Salesforce

Sales, service, and marketing on one platform

Admins, not engineers, running the roadmap

AI agents inside the CRM with Agentforce

One resolved customer record with Data Cloud

A composable stack

Best-of-breed tools on a warehouse core

Engineering owns the customer data stack

Deep custom logic that fights any suite

When the composable column wins, the answer is usually a warehouse-native customer stack with a tool like Braze on top. That comparison lives on our MarTech and CDP page.

/ Results

Customer data that went to work.

Fortune 500 Convenience Retail Chain

2.5x

Email engagement

Customer data unified across 600+ locations, with email engagement up 2.5x and promotions working 15% harder.

Read the story

National Healthcare Provider

4hClaims processing, down from 72

Eligibility verification automated end to end, taking claims processing from 72 hours to 4.

Read the story

Global Technology Enterprise

0.1%Contract error rate

Contract performance run through intelligent automation, with the error rate held at 0.1%.

Read the story

/ How an engagement runs

Five phases. No mystery.

01

Audit

Org audit first: what is customized, what is dead, and what blocks the roadmap. Rebuilds get recommended only when the math says so.

02

Design

Object model, integration contracts, and the Data Cloud identity plan agreed before anyone builds. Scope discipline starts here.

03

Build

Configuration over code, shipped in phases so sales teams work in the system while later phases land. A focused cloud rollout lands in 10 to 16 weeks.

04

Adopt

Training, admin enablement, and adoption tracking with real numbers. A CRM nobody updates is an expensive address book.

05

Run

Managed services under SLAs: release management, user support, and the backlog worked steadily. Or a clean handover to your admins.

The CRM is half the story.

Salesforce pays off when the customer data underneath it is resolved, governed, and activated across every channel. That is our MarTech and CDP practice, and Data Cloud is one of its home fields.

MarTech & CDP

/ Why ACI

Why enterprises run Salesforce with us

/ Partnership

Salesforce consulting partner with an Agentforce practice.

We implement what we recommend.

/ Integration

Most of our Salesforce work is integration.

ERP, warehouse, and CRM connected through MuleSoft, Platform Events, and APIs.

/ Scale

Founded 2006.

1,200+ engineers across 11 global delivery hubs. 500+ enterprise projects.

/ Operations

ISO 27001 certified and CMMI Level 3 appraised, with 24/7 managed operations under SLAs.

From the blog

Vector Database Strategy: The Key to AI Success in 2026
MarTech & CDP

Vector Database Strategy: The Key to AI Success in 2026

Build a scalable vector database strategy for AI with hybrid search, RAG optimization, and reliable retrieval for enterprise applications.

Read
Unity Catalog Metrics: Deliver Trusted KPIs Across Your Enterprise
MarTech & CDP

Unity Catalog Metrics: Deliver Trusted KPIs Across Your Enterprise

Build trusted KPIs with Databricks Unity Catalog Metrics Layer. Standardize definitions, improve governance, and ensure data consistency.

Read
From Chatbots to Autonomous Agents: How to Deploy Agentforce Without Losing Control
Digital Transformation

From Chatbots to Autonomous Agents: How to Deploy Agentforce Without Losing Control

Discover why governance and bounded autonomy are key to scaling enterprise AI safely with Agentforce, ensuring control, security, and compliance.

Read

Explore related capabilities

MarTech & CDP
Data Cloud as the customer 360.
Retail & Consumer
Commerce and service on one CRM.
Data Engineering
The pipelines feeding Data Cloud.
Salesforce Implementation Services
Scoped CRM builds and integrations.

/ Salesforce FAQ

Salesforce questions,
answered straight.

Do you work with our existing Salesforce org or rebuild it?

We work with the org you have. Most engagements start with an org audit: what is customized, what is dead, and what is blocking the roadmap. A rebuild only makes sense when years of technical debt cost more to untangle than to replace, and we will show you that math before recommending it.

How long does a Salesforce implementation take?

A focused Sales Cloud or Service Cloud rollout typically lands in 10 to 16 weeks. Multi-cloud programs with Data Cloud and heavy integration run longer and ship in phases, so sales teams are working in the system while later phases build. Scope discipline, not headcount, is what keeps the timeline honest.

What is Agentforce and do we need Data Cloud to use it?

Agentforce is Salesforce’s platform for AI agents that take actions in your CRM: qualifying leads, resolving cases, drafting follow-ups. The agents are only as good as the data they read, which is why Data Cloud matters; it gives them one resolved customer record instead of six conflicting ones. We implement both together.

Can you integrate Salesforce with our ERP and data warehouse?

Yes, that is most of our Salesforce work. We build integrations through MuleSoft, REST and SOAP APIs, Platform Events, and CDC, depending on latency and volume. Orders, invoices, and inventory stay in the ERP; Salesforce gets a live view instead of a stale copy.

Who runs Salesforce after go-live?

Your admins, if you have them; our managed services team, if you do not. We handle release management for the three Salesforce releases a year, user support, and ongoing configuration under an SLA. Either way, we train your team so knowledge does not walk out with the project.

Let's talk Salesforce