AI Services — Data X Intel
Now onboarding Q4 2026 clients — US-based · NDA-ready · Enterprise-grade

AI agents and automation that run in production.

Data X Intel designs, builds, and maintains custom LLM-powered agents and AI systems that handle real work — from intake and triage to reporting and operations. Not demos. Not prototypes. Production-grade.

US-Based TeamOnshore delivery, NDA-ready
Full LifecycleAudit → Build → Maintain
Client-OwnedNo lock-in, no agency accounts
Production-GradeNot demos, not prototypes
Trusted across industries
HEALTHCARELEGALFINANCE CONSTRUCTIONEDUCATIONMANUFACTURING PUBLIC SECTOR

AI services for every layer of your stack.

From strategy and architecture to build, deployment, and long-term maintenance — we cover the full AI lifecycle so you don't have to stitch together five vendors.

01

AI Agents & Automation

Custom LLM-powered agents that handle intake, triage, reporting, and repetitive operations. Built for production environments with deterministic routing and regression-tested prompt logic.

02

System Integration

Connect your CRM, EHR, scheduling, communications, and cloud tools through secure APIs and automated workflows. No more manual copy-paste between systems.

03

AI Strategy & Consulting

Workflow mapping, systems audit, and a written AI roadmap with priority, cost, hours saved, and timeline for each initiative. Fixed-price, 2–3 weeks.

04

Custom LLM Development

Fine-tuned models, RAG pipelines, and domain-specific AI systems architected for accuracy, compliance, and long-term maintainability.

05

AI Infrastructure & MLOps

Deploy, manage, and monitor AI systems in Azure, AWS, or on-prem. CI/CD, observability, least-privilege access, and infrastructure-as-code from day one.

06

AI Training & Enablement

Live workshops, team onboarding, and hands-on guidance so your people actually use the AI tools you invest in. Practical, not theoretical.

We're the integration and service layer for all of it.

Most companies buy tools. Few connect them. We sit in the middle — integrating every system, automating every workflow, and maintaining the whole stack so your team can focus on the business.

STEP 01
Audit
STEP 02
Architect
STEP 03
Build
STEP 04
Integrate
STEP 05
Deploy
STEP 06
Maintain

A disciplined, milestone-driven engagement model.

Every phase produces a working, demonstrable deliverable. No black boxes. No waiting six months for value.

PHASE 1

Discovery

Interviews, workflow mapping, systems audit, and a written roadmap with priority, cost, hours saved, and timeline for each item. Fixed-price, 2–3 weeks.

PHASE 2

First Build

We build the highest-value AI project first. Test, train, document, and provide 30 days of post-launch support. Fixed-price with milestones.

PHASE 3

Scale

Remaining roadmap items delivered as separate fixed-price projects or a monthly retainer. We build, train, and hand off cleanly.

Measurable outcomes, not demos.

Every engagement is tied to hours saved, cost reduced, or revenue unlocked — measured 60 days after rollout.

40+
Hours saved per week, per client, on average
$80K+
Saved on a single legal automation deployment
100%
Client-owned systems. No lock-in. No agency accounts.
14mo+
Average production lifespan of systems we've built
Legal · AI Automation

Contract review automation for a mid-market firm

Deployed custom GPT-powered agents to parse, summarize, and flag risk clauses in incoming contracts — replacing a manual review queue that had grown to two full-time roles.

Result: $80K+ saved in external fees in year one.

What clients ask before they engage.

Who owns the AI systems you build?

You do. Everything is built in your accounts — your Microsoft 365 tenant, your cloud, your repositories. Nothing we depend on lives in an agency or personal account. Full handoff documentation included.

How do you handle security and access?

Least-privilege access through dedicated accounts with multifactor authentication. You can revoke access at any time. NDAs are standard. For regulated industries we align with HIPAA, SOC 2, and Section 508 where applicable.

How quickly can you start?

Discovery typically kicks off within 1–2 weeks of signature. First production AI deliverable lands within 3–6 weeks depending on scope. We don't do six-month black-box engagements.

What does an AI engagement cost?

Discovery is fixed-price, typically $5K–$12K depending on complexity. Builds range from $10K–$50K+ per phase. Monthly retainers available for ongoing AI maintenance and support. We'll give you a firm number after discovery.

Do you subcontract?

We maintain a named core team and disclose any subcontractors upfront. For client-facing AI systems and data, all work is performed by US-based personnel under NDA.

What if the AI project doesn't work?

Every phase produces a working deliverable you can evaluate before proceeding. If discovery shows the project isn't viable, you keep the roadmap and we part ways. No long-term lock-in.

Ready to deploy AI in your operations?

Book a complimentary 15-minute AI audit. We'll review your stack, identify the biggest automation opportunities, and outline exactly what's possible — no pitch, no pressure.

Book a Free AI Audit →