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AI consulting for Lehigh Valley businesses

Start at $500Advisory: $200/hr, or 5-hour block at $175/hr ($875/mo)

Start with one workflow. Get a written recommendation for the tools, people, and controls it needs.

Om Concepts provides AI consulting and implementation across the Lehigh Valley. We review how work moves through your business, identify where AI or automation fits, and map the tools, access, costs, and human decisions involved. The next step can be team training, workflow integration, a voice pilot, or custom software and agents.

Agents in orbit around your operating core

Agents in orbit around your operating core

What clients say

Apps and systems used in real businesses.

“Alex has built and deployed several apps and projects that make managing my business easier”

Donald Mayock

Custom apps & business systems

Google review excerpt ·

“from web design and google analytics to AI and automation support.”

Mike Cimerola

JAM Graphics and Printing · web, analytics, AI & automation

Google review excerpt ·

Review excerpts verified .

5 lines

Pick the door that matches the problem

Start here

One assessment, then a map

Not sure which line fits? The assessment sorts it, and the fee credits toward whatever you build next.

Rate card · AI & AutomationUSD · one-time
  1. AI Readiness Assessment

    $500

    one-time

    Inquire

    Businesses that want a real map before spending on tools

    1 week

    • 90-minute discovery session
    • Current workflow and tooling review
    • AI opportunity map
    • Prioritized recommendations report
    • Fee credits toward any follow-on package

The $500 AI Readiness Assessment includes a 90-minute discovery session, a workflow and tooling review, an opportunity map, and prioritized recommendations. That fee credits toward follow-on work. The initial working call helps establish fit; implementation and ongoing tool costs are scoped separately.

Scope and fit

Plan the first useful step

Bring a workflow to the call

Bring a redacted example, the tools involved, who owns the process, and where work gets stuck. We map what happens today and agree on an observable result for a first pilot. A written recommendation can also be the final deliverable if a build is premature.

Choose the right starting point

Start with training when the team needs to use its existing AI tools well. Choose workflow automation for predictable rules and data handoffs. Use an agent when the task needs interpretation, bounded decisions, and several tools. A custom app can give the whole process a shared place to run.

Keep room for the whole business

An AI engagement can connect to your website, customer intake, marketing, reporting, and internal operations. Those services remain part of Om Concepts. We agree on a first useful deliverable and an expansion path based on what the business actually needs.

Explore the work and options

Working across the Lehigh Valley

Serving businesses across the Lehigh Valley, including Allentown, Bethlehem, Easton, and Whitehall. In-person work is arranged during scoping; remote delivery is available. Each engagement defines access, responsibilities, and the evidence used to review the result.

Explore our service area

How we work

Principles

Model, harness, environment

Most AI work confuses the three. The model is the brain, the harness is the body, the environment is the world it operates in. Most failures live in the harness or the environment. The model is rarely the problem.

Diagnose before you prescribe

Until we see the actual failure happen, we are guessing. Logs, traces, and receipts beat opinions. The fix usually sits one layer away from where the symptom showed up.

Start tight, expand on receipts

Less is more with agents. The smaller the surface area, the more reliable the loop. We start tight and expand only when the receipts justify it.

Why us

Breadth and depth

This practice runs on the same frontier models, harnesses, and protocols it installs for clients, benchmarked side by side before anything is recommended.

No single-modality blinders. We pick the modality that matches the job, run it end to end, and keep the receipts. Everything below has shipped in a real client context or on our own stack.

Text and reasoning

Long-context synthesis, extraction, classification, agentic planning.

  • Claude Opus 4.6
  • GPT-5.4
  • Gemini 2.5 Pro

Voice

Inbound triage, outbound follow-up, real-time transcription into structured handoffs.

  • Mic capture + diarization
  • Intent extraction
  • CRM handoff

Image

Brand imagery, product renders, and vision tasks used inside agent loops.

  • Generation
  • Vision input for agents

Video

Short-form clips, edits, and synthetic b-roll. Review pipelines with human sign-off.

  • Short-form generation
  • Cut-and-caption workflows

Audio and music

Voiceover, podcast-style audio, music beds for ad creative.

  • Voice cloning (consented)
  • Music beds

Code

Generation, refactor, test, and review loops running inside agent harnesses.

  • Claude Code
  • Codex
  • Cursor

Avatars and 3D

Talking-head avatars and 3D scene assets for pitch and sales material.

  • Talking-head avatars
  • 3D scene assets

Lab programs

Anthropic

User research and early-access programs.

OpenAI

User research and beta programs.

Google

Early access to AI product programs.

Perplexity

Insider programs and feedback cycles.

Common questions

Where do we start?

The $500 readiness assessment. Ninety minutes on your workflows, then a written map of what to automate, what needs an agent, and what to skip. The fee credits toward whatever you build next.

Agents, automation, or setup: which do we need?

Depends where the hours go. Rules-based handoffs want automation. Judgment work on one workflow wants an agent. A team retyping everything into chat by hand wants setup and training. The assessment sorts this in a week.

Do you only work with Lehigh Valley businesses?

No. Based in the Lehigh Valley, on-site locally when it helps, remote everywhere else. Agent and automation work ships the same either way.

How do we know what the agent actually did?

Every agent run produces a receipt: the model, the tool calls, the token counts, the timestamp. If we cannot show how something was produced, we do not claim it.

What does this cost to run after launch?

The scope separates setup, model usage, hosting, and ongoing support. We agree on usage limits and how costs and outcomes will be reviewed.

Ready to put a workflow on it?

Thirty-minute working call. Bring the problem you want fixed. You leave with a direction, fit or not.