Service · AI consulting

AI consulting and implementation.

AI strategy, custom development, and integration for your business, all led by engineers. We review your workflows, data, systems, and ownership, build what's ready, and suggest simpler rules-based solutions when they're a better fit.

14 years · 150+ projects · 4.8 on Clutch (36 reviews) · Woman-owned · Based in Lansdale, PA

Our Capabilities

What we build and connect.

The building blocks behind every OST AI project. One senior team handles all of them, so nothing gets lost between vendors.

MODEL CHOICE

The right model for each job.

OpenAI, Anthropic Claude, Google Gemini, or open-source models like Llama. We test them on your own tasks and choose on quality, cost and privacy, not brand.

SYSTEMS INTEGRATION

AI connected to the tools you run on.

We connect AI to your CRM, ERP, ecommerce store, help desk, student portal or database through secure APIs, so it works with live data and updates records for you.

AI IN WEB AND MOBILE APPS

AI features inside your own software.

Smart search, assistants and recommendations built into your website, customer portal or iOS and Android app, by the same team that builds custom software.

VOICE AI AGENTS

AI that answers the phone.

Voice agents that take calls, answer questions, book appointments and pass the caller to a person when needed, running in production today.

DOCUMENT AI

Turn PDFs and forms into data.

Read invoices, contracts, applications and reports, pull out the details, check them against your rules and fill your systems. Or create documents from your data.

AI SEARCH AND CONTENT

Find and create faster.

AI search across your products, documents or knowledge base, and AI-written product listings, descriptions and summaries your team reviews before they go live.

MULTILINGUAL AND ACCESSIBLE

AI that works for everyone.

Assistants that speak 90+ languages and interfaces built to WCAG 2.2 AA and Section 508, which public agencies and schools require.

DATA PROTECTION

Your data stays protected.

Personal data removed before it reaches a model, access by user role, audit logs, and business API terms so your data is not used to train public models.

How we work

Four phases. Same team across all four.

This is how every OST project runs. The people who scope your project are the people who build and support it.

  1. Phase 01 · 2–4 weeks

    Discovery and scope.

    Stakeholder interviews, technical review of existing systems, risk register, written scope with milestones and exit criteria.

  2. Phase 02 · 3–12 months

    Build and iterate.

    Two-week sprints with working demos. Senior leads on every sprint review. Code reviewed, accessibility checked.

  3. Phase 03 · 2–6 weeks

    Cutover and stabilization.

    Parallel run with rollback path. On-call coverage during the launch window. Stabilization continues until incident rate trends to zero.

  4. Phase 04 · ongoing

    Operate and evolve.

    Multi-year retainer with the same team that built the product. Monthly check-ins, quarterly business reviews.

Read the full engagement model on the How We Work page.

AI OPPORTUNITY ASSESSMENT

Not sure where AI fits? Start here.

Most businesses already know where time goes: answering the same questions, typing data from one system into another, chasing paperwork. We walk through your daily operations with your team, find the repetitive work, and show what it costs you today and what it could cost with AI. Then we rank each idea on value, data readiness, effort and risk, and tell you which ones are not worth doing yet.

What this looks like in your industry

Industry Business problem How AI helps
Manufacturing and B2B Quotes take days to prepare Drafts quotes from past jobs and pricing for your review
Healthcare practices Front desk tied up on routine calls Answers routine calls and books appointments
Professional services Hours spent reading contracts and claims Pulls out key terms and flags what's missing
E-commerce and retail Product listings written one by one Writes listings for your team to approve


What you get

  • A list of the manual tasks AI can take over, with the time and cost each one takes today
  • Estimated savings for the top three, with a budget and timeline to build each
  • The recommended starting point and which of our four services fits it
  • Data or system gaps to fix first

BUILD, BUY & INTEGRATE

Build, buy or integrate: we help you choose.

Once the right AI opportunities have been prioritized, the next decision is how each initiative should be delivered. Not every requirement needs a fully custom platform. An existing product, a capability already available in your business software, or a focused integration may provide a faster and more cost-effective solution. OST evaluates off-the-shelf platforms, commercial APIs, open-source models, existing CRM or ERP capabilities, and custom AI development options before recommending an approach. We compare implementation effort, flexibility, data control, licensing, vendor dependency, integration limitations, and long-term operating costs.

We recommend a custom solution only when the workflow, data, user experience, or integration requirements justify it. In many cases, the right choice is a hybrid architecture that combines established third-party models with custom software and existing business systems. Our AI consulting services help organizations make this decision before committing budget, reducing unnecessary development while preserving the flexibility needed for future growth.

Why OST

AI built for real use.

We build AI that people use every day, inside the tools they already have.

AI SYSTEM INTEGRATION

Works inside your existing systems

Your website, app, customer portal, CRM, online store or internal dashboard. No extra login and no new tool for your team to learn.

AI IMPLEMENTATION & ADOPTION

Your team actually uses it

We decide with you who uses it, when a person checks the output and how exceptions are handled, then train your staff. AI that nobody trusts is wasted money.

AI RISK & COMPLIANCE

Rules before automation

Before anything goes live, we agree on what the AI may do, which data it may use and when a person must decide.

AI Governance and Model Evaluation →

PROTOTYPE TO PRODUCTION

Already have a prototype?

We keep what works and add what real users need: error handling, cost limits, monitoring
and security.

Domain-Specific Agent Systems →

Our AI work

AI we have already shipped & built.

Real AI systems, live with real users: built for our clients and as our own products.

Frequently asked questions

Common questions on ai consulting and implementation engagements.

How do you decide whether AI fits a use case?

During discovery we look for repetitive decisions, high-volume queries, or pattern recognition tasks. AI fits when the task has clear inputs and ambiguous outputs that humans currently handle. We say no when a deterministic system would do the job better.

What does a typical AI engagement cost?

Pilot deployments (one channel, basic KB) start around $25K. Production deployments (multi-channel, custom training, escalation flows) run $50K to $150K. Enterprise multi-tenant rollouts run higher. See our AI chatbot ROI calculator for a defensible bracket.

Open-source models or closed-source?

Both. Closed-source (OpenAI, Anthropic, Google) when production quality and cost-per-query are predictable. Open-source (Llama, Mistral) when data sovereignty, fine-tuning depth, or per-query cost dominates the equation.

How do you handle AI cost monitoring?

Token-cost tracking per query, hard ceilings, fallback to cheaper models when traffic spikes, and graceful degradation when limits hit. Cost should be predictable, not surprising.

What about hallucinations and accuracy?

Knowledge-base grounding constrains the model to your documented content. Refusal paths for out-of-scope questions. Continuous evaluation with synthetic test sets and real user feedback.