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AI SOLUTIONS

AI Agents And Tools
Built, Shipped, Supported

Hi-Tek builds AI agents and tools that ship to production and stay there. Microsoft Copilot Studio, Anthropic Claude, OpenAI, Azure OpenAI. Document processing, search, summarization, internal agents. Built to live inside your identity, security, and AI governance stack.

  • In-house full-stack team with AI deployment experience
  • Microsoft Copilot Studio, Claude API, OpenAI, Azure OpenAI
  • Document processing, search, summarization, internal agents
  • Built inside your tenant, scoped to your data, governed under your policy
Trusted by SMB and mid-market businesses ready to ship AI tools that work inside their security and compliance posture
Microsoft Solutions PartnerModern Work · Security · Azure
Sea Pine Equity-BackedPE-supported growth platform
Software Roots Since 1982Founded as a custom dev firm
Multi-Framework AlignedHIPAA, NY DFS, FTC, NIST
QUICK ANSWER

What Does Hi-Tek Build?

We build the AI tools that fit your business and run inside your security stack. Microsoft Copilot Studio agents for internal workflows. Document processing pipelines on Claude or OpenAI. Custom internal search and summarization. The build is tightly scoped, runs under your AI governance policy, and is supported by the same team that shipped it.

  • Microsoft Copilot Studio AgentsInternal agents on the Microsoft platform. Tied to M365 data, governed by your tenant policy.
  • Anthropic Claude BuildsHi-Tek partners with Anthropic for higher-trust internal builds. Document processing, drafting, summarization, agents.
  • OpenAI & Azure OpenAIGPT-4 class models for document processing, search, classification, structured extraction.
  • Document Processing PipelinesContracts, invoices, medical records, financial statements. Structured extraction, classification, routing.
  • Internal Search & RAGRetrieval-augmented generation across your document repositories. SharePoint, OneDrive, network shares, line-of-business apps.
  • Drafting & Summarization ToolsDepartment-specific drafting assistants. Meeting summarization. Email drafting with tone and policy guardrails.
  • Workflow AgentsMulti-step agents that gather, reason, and act. Tightly scoped tools, audited operations, human-in-the-loop where needed.
  • Operational SupportThe team that ships the build supports it. Monitoring, model updates, prompt tuning, evaluation, ongoing improvement.
Most MSPs talk about AI. We have shipped agents to production for clients in healthcare, legal, accounting, and PE-backed platforms.
30 minutes with our AI solutions architect. He scopes the build, sketches the architecture, ranges the timeline. Written brief same week. No pitch.
Send the Architect →
WHAT WE BUILD

Four Build Patterns We Ship Most Often

The catalog evolves, but four build patterns repeat across clients. Each one is tightly scoped, deployed in 60 to 120 days, and supported by the same team that shipped it.

Document Processing

Contracts, invoices, medical records, financial statements. Structured extraction, classification, routing to downstream systems. Audit trail on every document, human review where the confidence threshold misses.

High-volume use case
Internal Search & RAG

Retrieval-augmented generation across SharePoint, OneDrive, network shares, line-of-business apps. Employees ask natural-language questions and get cited answers grounded in your documents.

Knowledge unlock
Drafting Assistants

Department-specific drafting tools. Emails, proposals, summaries, contract redlines, regulatory responses. Tone and policy guardrails baked in. Output sized to your house style, not generic AI tone.

Daily-driver tool
Workflow Agents

Multi-step agents that gather data, reason about it, and take scoped actions. Human in the loop for high-impact decisions. Audited operations, scoped tools, observable end-to-end.

Process automation
WHAT IS BUNDLED IN

The Hi-Tek AI Build Bundle

From scoped problem statement to deployed agent. Architecture, build, evaluation, deployment, support. The team that ships it is the team that supports it.

Scoping & Architecture

  • Solutions architect-led scoping session
  • Use case validation against business value and risk
  • Model selection: Copilot Studio, Claude, OpenAI, Azure OpenAI
  • Data architecture: where data sits, how it flows, how it is governed
  • Security review and AI policy alignment
  • Written brief with timeline, cost, and success criteria

Build & Integration

  • In-house full-stack development team
  • Integration with M365, SharePoint, line-of-business systems
  • Identity and access controls aligned to your tenant
  • Logging and audit trail on every operation
  • Tool use, function calling, and structured outputs where appropriate
  • Built-in human-in-the-loop checkpoints for high-impact actions

Evaluation & Quality

  • Evaluation framework built per use case
  • Test sets with realistic edge cases from your data
  • Pre-deployment review with subject matter experts
  • Confidence scoring and human review thresholds
  • A/B testing on model and prompt changes
  • Ongoing evaluation metrics tracked over time

Deployment & Support

  • Production deployment inside your tenant or chosen cloud
  • Monitoring and alerting on agent operations
  • Model version management and rollback capability
  • Prompt tuning and continuous improvement
  • Operational runbook for your internal team
  • Quarterly review with usage metrics and roadmap discussion
Pasquale Antuofermo
“Most AI implementations fail because they start with the tool, not the workflow. We start with what your team is spending time on today, then map AI to the highest-value workflow. Copilot for some tasks, custom for others, structured data plumbing underneath all of it. Measurable outcomes, not buzzword theater.”
Pasquale Antuofermo
Director, Custom Apps + AI · Hi-Tek Data
WHERE WE FIT BEST

Built For Businesses Ready To Ship

AI solutions work best for businesses that have a clear use case, real data to feed it, and a tolerance for iteration once the agent is live. We say no to projects that are clearly demos in disguise.

WHAT CLIENTS SAY
DEMO VS PRODUCTION

What That Actually Means

The difference between an AI demo and an AI product is what happens after the launch press release. Six dimensions where most AI consulting falls short of production.

When It Matters
Typical AI Consultant
Hi-Tek AI Build
Evaluation framework
✗“It worked in our demo”
✓Gold test set built from your data, scored across models
When the model behaves unexpectedly
✗“That’s a known limitation”
✓Monitoring catches it, prompt or model tuning resolves it
Security & data handling
✗Bring your data to our environment
✓Build inside your tenant, scoped to your data, governed under your policy
After launch support
✗Handoff and retainer for “future enhancements”
✓Same team supports, tunes, evolves; quarterly review built in
Use case scoping
✗Yes to whatever the client asks for
✓No to use cases that will not ship. Yes to the ones that will.
Integration with your stack
✗Bolt-on, separate auth, separate logging
✓Native to M365, scoped to your identity, audited in your SIEM
HOW WE BUILD

60 to 120 Days, Scoping To Production

Most AI builds complete in 60 to 120 days from scoping to production cutover. We move fast because the scoping is real, the architecture choices are made early, and the evaluation framework is built before the production code.

01
Week 1 to 4

Scoping + Architecture

Solutions architect-led scoping. Use case validated. Model selected. Data architecture documented. Security review and AI policy alignment. Written brief.

02
Week 5 to 8

Build + Evaluation Setup

Build sprint. Evaluation framework stood up with gold test set. Integration with M365 and line-of-business systems. Logging and audit trail in place.

03
Week 9 to 12

Production Cutover

Pilot with a controlled user group. Iteration on prompts and confidence thresholds. Production rollout with monitoring in place. Operational runbook delivered.

04
Day 90 and beyond

Production Support

Continuous monitoring. Quarterly evaluation against gold set. Model version management. Prompt tuning and enhancement. Quarterly review with usage metrics.

Where We Operate

Same team everywhere. Two ways to get on-site.

vCIO, NOC, SOC, help desk, engineering, projects, security stack, all owned and staffed by Hi-Tek employees, identical for every client. The only thing that varies by geography is who walks in your door.

In-House Team
NY, NJ, CT

Same Hi-Tek core team for every client: NOC, SOC, vCIO, help desk, engineering, projects, security stack. Across the tri-state, on-site is Hi-Tek too. Same team on the call and at the door.

  • Same-day on-site for emergencies
  • Named techs who know your stack
  • All escalation paths in-house
National Field Network
Nationwide

Same Hi-Tek core team for every client: NOC, SOC, vCIO, help desk, engineering, projects, security stack. Outside the tri-state, on-site is a Hi-Tek-vetted field engineer assigned to your account, the same person back every visit, building a long-term relationship with your stack. Not a one-time sub.

  • NOC, SOC, vCIO, help desk all run from Hi-Tek HQ
  • Dedicated field engineer per account, not a rotating sub
  • Same-day on-site dispatch outside the tri-state
FREQUENTLY ASKED

The Questions Buyers Ask Most

Real questions from buyers evaluating Hi-Tek for AI builds, organized by topic.

We select per use case. Anthropic Claude for higher-trust internal builds. OpenAI and Azure OpenAI for GPT-4 class workloads. Microsoft Copilot Studio for native M365 agents. Model choice is driven by accuracy on your data, not by hype.
Hi-Tek partners with Anthropic. Claude has consistently performed strongest on the higher-trust use cases we ship most (legal contract review, healthcare document processing, regulated drafting). The partnership gives us direct technical access and roadmap visibility.
No. We use enterprise model deployments with data retention controls aligned to your policy. Claude and OpenAI enterprise tiers do not train on your data. Azure OpenAI keeps data inside your Azure tenant.
Built inside your tenant or chosen cloud. Identity scoped to your Azure AD or Entra. Logging into your SIEM. Data classification respected. Purview labels enforced where applicable. The build lives inside your existing security envelope.
60 to 120 days from scoping to production cutover for most builds. Scoping in weeks 1-4. Build and evaluation in weeks 5-8. Production cutover by week 12. Some builds are smaller (Copilot Studio agents in 30 days). Some are larger (multi-system workflow agents in 6 months).
We say no to use cases that will not work. We will tell you in the scoping phase if your data, your accuracy requirements, or your business value math does not support a production build. Hi-Tek would rather scope you out of a project than ship slideware.
Fixed-fee scoping engagement (1-2 weeks). Fixed-fee or time-and-materials build (8-16 weeks typical). Ongoing per-month support fee after production cutover that covers monitoring, tuning, and quarterly review.
Pass-through. Model API costs (Claude, OpenAI, Azure OpenAI) are charged at cost or you can hold them on your own enterprise contract. Hi-Tek does not markup model usage.
LET’S TALK

Ready To Ship An AI Build?

30-minute scoping call with our AI solutions architect. He audits the use case, sketches the architecture, ranges the timeline. Written brief same week. No obligation, no sales pressure.

WHAT BRINGS YOU HERE?

Scope an AI Build
30-minute call. Use case audit. Architecture sketch. Written brief same week.
Request Your Assessment →
Call Hi-Tek Directly
Best path if you have a failed POC to replace or a deadline driving the build.
516-797-8800
CREDENTIALS, RECEIPTS, ANCHORS
Anthropic PartnerClaude API direct partnership for higher-trust internal builds
Microsoft Solutions PartnerModern Work, Security, Azure designations active; Copilot Studio capable
Continental U.S. CoverageHeadquartered in Syosset NY, same-day on-site NY metro, project + dispatched national
Multi-Framework AlignedHIPAA, NY DFS Part 500, FTC Safeguards, SOC 2, NIST CSF, NIST AI RMF, ISO 42001
Shipped To ProductionReal agents serving real workloads, not proof of concepts on the shelf
In-House Team Since 1982Custom application development continuous; same team builds and supports