What does your Salesforce consulting firm do?

Our firm delivers end-to-end Salesforce consulting and implementation services across the entire ecosystem, including Sales Cloud, Service Cloud, CPQ, Health Cloud, Data Cloud, Slack, Agentforce, and more.

Do you only focus on one Salesforce product or the full platform?

We work across the full Salesforce platform, from core CRM and industry clouds to AI, data, and collaboration tools, so you can run an integrated, scalable Salesforce-centric stack.

Where is your Salesforce consulting firm based?

We are primarily based in the United States and support global customers across North America, Australia, India, Europe, and the Middle East.

Which industries do you work with?

We partner with organizations in technology, healthcare, financial services, manufacturing, professional services, and other sectors, tailoring Salesforce solutions to each industry’s processes and regulatory needs.

Do you support multi-region and global Salesforce rollouts?

Yes, we regularly run multi-region and global rollouts, designing Salesforce, Data Cloud, and AI architectures that support local requirements while maintaining a consistent global operating model.

Do you offer both new implementations and org clean-ups?

We support greenfield implementations, re-implementations, and optimization projects for existing Salesforce orgs that need restructuring, cleanup, or modernization.

How do you typically start a new engagement?

Most engagements start with a discovery and assessment phase, where we review your current landscape, gather requirements, and define a roadmap and delivery plan.

Which Salesforce products and clouds do you implement?

We cover the full Salesforce ecosystem, including Sales Cloud, Service Cloud, Experience Cloud, CPQ, Billing, Health Cloud, Data Cloud, Field Service, Slack, Agentforce, and related industry clouds.

Do you support Experience Cloud for portals?

Yes, we design and implement Experience Cloud portals for customers, partners, and internal users, tightly integrated with Sales, Service, and other Salesforce solutions.

Do you implement Salesforce Field Service?

We implement Salesforce Field Service for scheduling, dispatch, mobile field technician support, and integration with core Service Cloud processes.

Do you work with Salesforce industry solutions?

We work with relevant Salesforce industry clouds where they align to your use cases, and we also tailor core clouds for industry-specific requirements.

What services do you offer for Sales Cloud?

We design and implement Sales Cloud for lead and opportunity management, forecasting, territory planning, account management, and sales analytics aligned to your go-to-market model.

Do you implement Salesforce CPQ and billing?

Yes, we implement Salesforce CPQ and related billing solutions to streamline quoting, pricing, discounting, approvals, and subscription management, helping sales teams close faster with fewer errors.

Can you help optimize our existing Sales Cloud setup?

We assess and refactor existing Sales Cloud orgs, improving configuration, performance, and data quality, and aligning the system to current sales processes and KPIs.

Do you support sales process and methodology design?

We help define and embed sales stages, qualification criteria, and automation in Salesforce so your CRM reflects how your teams actually sell.

What do you offer for Salesforce Service Cloud?

We implement Service Cloud for case management, omni-channel routing, SLAs, knowledge, and self-service, enabling efficient, consistent customer support.

Can you help us build customer self-service and portals?

Yes, we design and build Experience Cloud-based portals integrated with Service Cloud, knowledge, and back-office systems so customers can self-serve and track requests.

Do you support field service scenarios?

We implement and optimize Salesforce Field Service, including work orders, scheduling, dispatch, and mobile experiences for field technicians.

Can you help modernize our contact-center setup in Salesforce?

We redesign Service Cloud configurations, routing, automations, integrations, and agent experiences to modernize contact-center operations and improve customer outcomes.

Do you implement Salesforce Health Cloud?

Yes, we deploy Health Cloud for payers, providers, and life sciences organizations, focusing on care management, patient engagement, and coordinated teams.

Can you handle compliance and security for healthcare projects?

We work within your security, privacy, and compliance requirements, designing architectures and delivery processes that align with regulatory standards in your target regions.

Do you only work with healthcare on Health Cloud?

While Health Cloud is healthcare-focused, our experience with regulated environments also applies to other industries with strict privacy and data-handling requirements.

What do you offer around Salesforce Data Cloud?

We design and implement Data Cloud to unify data from Salesforce and external systems, create customer profiles, and power segmentation, analytics, and AI use cases.

Can you integrate Data Cloud with our existing data warehouse and tools?

Yes, we connect Data Cloud with warehouses, lakes, and analytics tools so you can leverage unified customer and operational data across your stack.

How do you ensure data is ready for AI?

We help with data modeling, governance, lineage, and quality so your Salesforce and Data Cloud foundations are robust enough to safely power AI agents and advanced analytics.

What is Salesforce Agentforce and do you implement it?

Agentforce is Salesforce’s platform for AI agents that can take actions in your org. We design, build, and govern these agents for sales, service, field, and internal teams.

What kinds of AI and Agentforce use cases do you support?

We build agents for lead qualification, sales coaching, case triage, knowledge-based support, field service assistance, internal operations automation, and more.

How do you make sure AI agents are safe and controlled?

We define guardrails, access scopes, and approval workflows, and set up monitoring so AI agents act within your policies and only use data they’re allowed to access.

Do you help with AI strategy, not just implementation?

Yes. We prioritize AI use cases, align them to business outcomes, and create a roadmap that balances quick wins with longer-term AI foundations.

Do you implement Slack as part of your Salesforce projects?

Yes, we implement Slack and integrate it with Salesforce so teams can collaborate in channels with real-time CRM updates, alerts, and workflows.

How do you connect Slack with Salesforce?

We set up standard and custom Slack + Salesforce integrations, automations, and apps that bring Salesforce data into Slack and allow users to update records and trigger actions directly from channels.

Can you help us design a Slack collaboration strategy?

Yes. We define channel structures, integrations, and governance so Slack supports sales, service, and operations workflows without creating extra noise.

Do you also work with Microsoft Teams and Zoom?

Yes, we integrate Salesforce with Microsoft Teams and Zoom to streamline meetings, calls, and collaboration around CRM data.

Which marketing and advertising platforms can you integrate with Salesforce?

We integrate Salesforce with Meta (Facebook and Instagram), TikTok, LinkedIn, Google Ads, YouTube Ads, and other ad platforms so campaigns, leads, and revenue are connected end-to-end.

Can you connect Salesforce to our social and lead-generation tools?

Yes, we integrate Salesforce with tools like LinkedIn, Meta, TikTok, ZoomInfo, and web/survey platforms so leads and engagement signals are captured, enriched, and routed automatically.

Do you support marketing attribution and closed-loop reporting?

Yes. We design data flows and models so you can track performance from ad spend and campaigns through pipeline and closed-won revenue in Salesforce.

Which collaboration and productivity tools do you support?

We integrate Salesforce with Slack, Microsoft Teams, Zoom, Google Workspace, and similar tools so teams can receive alerts, update records, and collaborate where they already work.

Do you work with work-management and survey platforms?

Yes, we connect Salesforce with platforms like Monday.com and SurveyMonkey, synchronizing projects, tasks, responses, and customer feedback with your CRM.

Can you integrate telephony and contact-center tools with Salesforce?

Yes, we integrate dialers and contact-center tools such as Dialpad and other CCaaS platforms so calls, SMS, and interactions are logged and actionable in Salesforce.

Do you support meeting intelligence and contact data tools like ZoomInfo?

Yes, we integrate ZoomInfo, Zoom, and related tools to enrich Salesforce records and capture engagement context for sales and service workflows.

Which data warehouses and cloud data platforms can you integrate with Salesforce and Data Cloud?

We connect Salesforce and Data Cloud with platforms like Snowflake, Databricks, Microsoft Azure data services, and other warehouse and lake technologies to build a unified, analytics-ready data foundation.

Can you sync data between Salesforce and our BI or analytics stack?

Yes, we design data pipelines so Salesforce data flows to and from your BI tools, warehouses, and dashboards for reporting, AI, and advanced analytics.

Do you support real-time as well as batch data integrations?

Yes. We implement both real-time and batch integration patterns, selecting the right approach based on your use cases, system constraints, and governance requirements.

Do you support ETL and data integration tools?

Yes, we work with ETL and data integration platforms such as Informatica and others to move, transform, and govern data between Salesforce, operational systems, and analytics platforms.

Can you work with our industry-specific or niche applications?

Yes. We’ve integrated Salesforce with specialized systems across multiple industries and can design custom integrations for your specific tools and workflows.

Do you use middleware or iPaaS for integrations?

Depending on your landscape, we use APIs, native connectors, ETL, and/or iPaaS solutions to implement scalable, maintainable integrations between Salesforce and other systems.

What engagement models do you offer?

We offer project-based implementations, advisory and roadmap engagements, and ongoing managed services for Salesforce, Data Cloud, AI, and integrations.

Do you provide ongoing support after go-live?

Yes. We provide post-go-live support, monitoring, enhancements, and enablement to keep your Salesforce and AI solutions aligned with changing business needs.

How do you measure success for Salesforce, Data Cloud, and AI projects?

We align on clear KPIs such as productivity, revenue impact, customer experience, and time-to-value, and track these metrics throughout and after the implementation.

How can we get started working with you?

Start with a short discovery workshop where we assess your Salesforce landscape, identify high-value use cases, and outline a phased implementation plan with timelines and investment estimates.

4 Hard Truths for Data & AI Professionals in 2026

Feb 10

Written By Akshit Kandi

The data and AI world is entering a reset. A natural recalibration.

After cycle of hype, pilots, and pressure to “just ship something with AI,” 2026 is shaping up to be the year where reality sets in, especially for data engineers, analytics leaders, ML practitioners, and AI architects.

Here’s what’s actually changing.

1. AI Skills Alone Won’t Save You

For the past few years, “AI experience” has been a career accelerant.

Now, it’s table stakes.

By early 2026, most serious organizations have:

Experimented with LLMs
Built at least one internal AI use case
Realized that models are not the bottleneck

What’s holding them back isn’t lack of intelligence, it’s lack of trustworthy data.

The professionals who stand out now aren’t just model builders. They’re the ones who can:

Explain where data comes from
Defend metric definitions
Design systems that don’t break under automation

AI fluency matters, but data credibility matters more.

2. “Just Add AI” Is Creating a New Kind of Technical Debt

2026 is quietly becoming the year of AI-driven technical debt.

Fast deployments. Auto-generated pipelines. Vibe-coded transformations. Sure, everything works, until it actually doesn’t any longer.

We’re already seeing:

Fragile data pipelines nobody fully owns
Metrics generated by agents without lineage
Models trained on shifting definitions
Silent failures masked by clean dashboards

AI makes it easier to build quickly. It also makes it easier to avoid fixing the foundation.

The result? Systems that look modern but behave unpredictably. This might be you already.

The professionals who slow down to clean, document, and govern will outperform those who only optimize for speed.

3. Data Roles Are Becoming Less Specialized and More Accountable

The clean lines between roles are fading.

In 2026, data professionals are expected to:

Understand business context, not just schemas
Think about governance, not just ingestion
Anticipate downstream AI impact
Defend numbers in executive conversations

The era of “I just deliver the dataset” is ending.

Whether you’re titled data engineer, analytics engineer, ML engineer, or AI architect you’re increasingly accountable for how decisions are made with your work. This means your data, your metrics, your analysis are all key imporant pillars.

That’s uncomfortable and It’s also an opportunity.

4. Trust Is the New Performance Metric

Here’s the quiet shift most people miss:

In 2026, success isn’t measured by:

Number of models deployed
Volume of data ingested
Dashboards shipped

It’s measured by adoption without resistance.

Do teams act on insights without second-guessing? Do leaders stop asking for shadow spreadsheets? Do AI recommendations get used or not audited?

Those are trust signals.

And trust is built long before the model runs.

What This Means Going Forward

The next phase isn’t about learning another model or adding another layer to the stack. Most teams already have more capability than they can safely use.

What actually separates high-impact Data & AI professionals now is whether they can:

Stand up a single, defensible source of truth across systems
Explain why a number is correct, not just how it’s calculated
Design data flows that AI can operate on without human babysitting
Say “no” to scaling AI when the foundation isn’t ready

In 2026, the most valuable person in the room isn’t the one who shipped the fastest proof of concept. It’s the one whose data holds up when automation, agents, and executive scrutiny are applied at the same time.

Where your Data & AI team or SkySync Comes In

This is the gap we see repeatedly and where SkySync focuses.

Teams don’t need more ideas. They need help turning fragmented data into something AI can actually rely on. That means doing the unglamorous work most organizations avoid:

Tracing metrics back to their true source systems
Resolving identity and duplication across platforms
Defining ownership and governance that survives scale
Preparing Salesforce Data Cloud and AI layers to operate with confidence

When this work is done right, AI accuracy improves without touching models, dashboards stop being debated, and leadership starts trusting outputs again.

AI will keep getting smarter. The careers that grow and the systems that last will belong to the people who made sure the data underneath deserved to be believed.

If this sounds familiar, you’re not early. You’re right on time.

#DataQuality #Analytics #KeepItReal #DataIntegrity

aidevelopment

Akshit Kandi