1 Executive Drive Suite 100 Marlton, NJ 08053
Your Team Is Carrying Work AI Should Own - We Build the Automation That Changes That
Xact IT Solutions is an AI automation agency with 20+ years in operation and zero client breaches. We scope, build, and operate AI automation inside Microsoft 365, your CRM, and your existing compliance controls - run by a dedicated team, not handed off after a demo.
Capabilities
What Our AI Automation Agency Delivers
Workflow Scoping and Use Case Validation
Before anything is built, we map the actual workflow and tell you honestly whether AI should touch it at all. You leave with a written use case document showing expected outcomes - not a vendor pitch.
Custom AI Agent and Automation Builds
We build inside your existing stack - Microsoft 365, your CRM, your ticketing system - so the automation works where your team already operates. No parallel toolset. No adoption overhead.
Inbound Lead Qualification and Ticket Triage
Inbound requests get classified, prioritized, and routed without human intervention - so your team responds to work that genuinely requires them, not to queues they shouldn't be sorting.
Document Review and Approval Flow Automation
Repetitive document review, drafting, and multi-step approval workflows get redesigned around AI-assisted handling - reducing cycle time and the cost of work done inconsistently by hand.
Security and Compliance-Controlled Deployment
Every automation is deployed inside your existing security and compliance controls. Your HIPAA, SOC 2, and CMMC posture is preserved at every layer - never worked around.
Fractional AI Orchestration and Ongoing Optimization
After launch, a named fractional AI orchestrator runs the program - reviewing performance, refining logic, and identifying the next use case so your automation compounds instead of going stale.
What Deploying AI With the Right Agency Actually Looks Like
Most organizations lose months in the AI-curious phase – sitting through demos, reading case studies, running proofs of concept that never reach production. The real cost isn’t the wasted time. It’s the workflows that keep draining your team while leadership waits for clarity. According to NIST’s AI Risk Management Framework, organizations that deploy AI successfully treat it as a managed discipline with defined risk controls – not an experiment bolted onto existing operations. That discipline is where most providers cut corners, and it is exactly where deployments fail.
If your team is still manually qualifying inbound leads, routing support requests by hand, or spending hours on document review that follows a predictable pattern, you have a scoped automation problem – not a strategy problem. As an AI automation agency, our approach is built around one constraint most providers won’t name: AI does not improve a broken process. It scales it. Before we write a single line of automation logic, we redesign the workflow – mapping decision points, exception conditions, and the places where a human must stay in the loop. We then build inside your existing stack, so there is nothing new to adopt. Our fractional AI orchestrator stays on the engagement after launch, which means there is a named person accountable for the program’s performance every month – not a vendor who disappears after go-live. See how we deliver this regionally on our AI automation services New Jersey page, or explore our full managed IT services for broader technology support.
This engagement is built for mid-market organizations – typically 15 to 500 employees – where leadership has already identified a specific process bottleneck and has the organizational will to redesign it, not just automate around it. The right buyer is an operations leader, COO, or IT director who has heard the AI pitch enough times to be skeptical, and who wants a partner willing to say what should not be automated as clearly as what should. If your organization is still exploring whether AI applies to your business at all, that is a different conversation – valuable, but not what this engagement is built for.
How It Works
How Our AI Automation Agency Moves From Bottleneck to Live Program
1
Assess - Workflow Discovery and Use Case Scoping
2
Strategize - Architecture, Stack Alignment, and Compliance Review
3
Implement - Build, Test, and Controlled Deployment
4
Operate - Fractional AI Orchestration and Continuous Improvement
Why Operations Leaders Choose Xact IT Over Other AI Automation Agencies
Xact IT Solutions has operated for more than 20 years with a record that is rare in this industry: zero client breaches across our entire history. Our AI automation engagements are built inside the same security and compliance discipline that protects our managed IT and cybersecurity clients – meaning every workflow we deploy respects your HIPAA, SOC 2, and CMMC posture from the first design decision to the last line of logic. The Cybersecurity and Infrastructure Security Agency’s guidance on AI security reflects exactly the discipline we apply: AI deployments in regulated and risk-sensitive environments require the same rigor as any other infrastructure decision. We treat them that way. For additional context on how small and mid-market businesses should evaluate technology investments, the SBA’s cybersecurity guidance provides a useful baseline.
An engagement follows a predictable structure. In weeks one and two, we complete workflow discovery and deliver the written use case scope. By the end of week four, you have a confirmed architecture design and compliance review in hand. Weeks five through eight are dedicated to build and structured testing against your actual scenarios – not synthetic data. Deployment happens in a controlled rollout with your team briefed and override protocols documented. The fractional AI orchestrator takes over from that point, reviewing outputs on a defined cadence and reporting to you monthly on what changed, what improved, and what comes next.
In the first 30 to 90 days, clients typically see the targeted workflow running without manual intervention, exception rates declining as the logic is refined, and a second use case identified for the next phase. What clients tell us consistently is that they finally feel like someone owns the program – not just delivered it. The fractional orchestrator model means your automation doesn’t plateau. It compounds. You can also learn more about the broader technology services we provide on our cybersecurity services page.
Frequently Asked Questions About Our AI Automation Agency
What does working with an AI automation agency cost?
Pricing depends on the scope and complexity of the use case – number of decision points, systems involved, compliance requirements, and whether ongoing fractional orchestration is included. The right number depends on your specific workflow, not a package tier, which is why we don’t list pricing here. The strategy call is where we get specific. It’s free, it’s 20 minutes, and you’ll leave with a clear picture of what a realistic engagement looks like for your situation.
How long does an AI automation engagement take?
A scoped single-workflow engagement typically moves from discovery to live deployment in six to ten weeks, depending on the complexity of the build and your team’s availability for testing. Engagements involving multiple integrations or regulated data environments may run longer. The fractional orchestration phase begins at deployment and continues month over month – it’s not a project with a hard end date, it’s an ongoing program with defined monthly outputs.
What happens on the strategy call?
The strategy call is a 20-minute conversation with our team – not a sales presentation. You describe the workflow or bottleneck you want to address, and we tell you honestly whether AI automation is the right lever, what a realistic scope looks like, and what questions you should be asking any provider you evaluate. You’ll leave with specific, actionable input whether you work with us or not. No obligation. No pressure.
How is Xact IT Solutions different from other AI automation agencies?
Most providers scope around what AI can do, then hand you a deployed workflow and move on. We scope around what your business process actually requires, redesign the workflow before we automate anything, build inside your existing stack rather than adding new tools, and stay on as a fractional AI orchestrator after go-live. We also tell you what not to automate – clearly, and early. That’s uncommon. And because our team comes from 20+ years of managed IT and cybersecurity work, every automation we build respects your compliance posture from the start. Security is never a layer we add at the end.
Do you serve clients outside New Jersey?
Yes. Our AI automation agency serves clients nationally. Our team is based in Marlton, New Jersey, and we work with businesses across the United States. Because we build inside your existing cloud and software stack, the engagement is not geography-dependent. Clients who want regional familiarity can connect with us through our New Jersey-specific service pages – but the delivery model works anywhere.
Ready to Work with an AI Automation Agency That Stays Accountable After Go-Live?
The strategy call is 20 focused minutes with our team. You’ll leave with specific recommendations you can act on immediately – whether you work with us or not.
Or call us: (856) 282-4100
The Benefits
What Changes When Your AI Automation Is Built to Last
- Targeted workflows run without manual intervention - because the automation is built around your actual decision rules, not a generic template dropped into your stack.
- Your team stops doing work AI should own - inbound triage, document review, and data entry move to the automation layer so your people focus on judgment calls that require them.
- Compliance posture stays intact after deployment - every automation is built inside your HIPAA, SOC 2, or CMMC controls from the first design decision, not retrofitted after the fact.
- Automation compounds month over month instead of going stale - the fractional AI orchestrator refines the logic and identifies the next use case so ROI grows over time.
- Leadership has a named person accountable for performance - not a ticket queue or a vendor portal, but a fractional orchestrator who reports to you monthly on what changed and what's next.
- You know exactly what not to automate before you spend a dollar building it - our scoping process surfaces process problems that AI would scale, not solve, protecting you from deployments that fail quietly.