AI & LLM
Application Development
AI that takes work off your team: reading and routing documents, checking data before it causes problems, watching for what needs attention, and carrying out workflow steps with a person approving what matters. Built around your data and your systems, with every step logged, and never locked to one AI provider.
AI That Does Real Work
We do not bolt a chatbot onto your website and call it AI transformation. We start from a task your team does today, decide which steps need reading or judgment, and build the AI to do those steps inside your systems, with a person reviewing anything uncertain or consequential.
Document triage
Incoming emails, forms and attachments are read, classified and routed to the right person or system, with unclear items held for review.
Data-quality agents
Records are checked for missing fields, duplicates and values that do not make sense, and problems are flagged before they reach an invoice or a report.
Research and monitoring agents
Sources you care about are watched on a schedule, and you get a short summary of what changed instead of checking them by hand.
Internal knowledge assistants
Staff ask questions of your own policies, procedures and records, and see only what their access allows, with the source shown for each answer.
Workflow agents
Multi-step tasks such as preparing a follow-up, updating records and creating the next task, with approval required before anything consequential happens.
Extraction and validation
Key details are pulled from documents and checked against your rules and existing records before anything is written.
Human review where it matters, a log of every step, and a provider you can change.
AI Agents & Automation
An agent is a model that can take more than one step: it can call tools, read from and write to your systems, and decide what to do next based on what it finds -- with the guardrails and oversight that make that safe to run in your business.
Tool and function calling
The model can call the specific functions, APIs, and internal tools it needs to complete a task, not just generate text about it.
Multi-step task execution
Agents that plan a sequence of steps, execute them, and adjust when a step does not go as expected.
Connected to your systems
Agents that read from and write to the systems you already run, working inside the access you grant rather than a sandbox.
Human oversight and guardrails
Defined limits on what an agent can do without approval, and a clear path for a person to review or intervene.
Scheduled and triggered runs
Agents that run on a schedule, in response to an event, or on demand, instead of only inside a chat window.
Monitoring and logging
A record of what an agent did and why, so its actions can be reviewed and its behavior improved over time.
Use Your Preferred AI Provider
We build against the provider that fits the project, your budget, and your data requirements -- not the one we happen to prefer. If you already pay for a provider, we build on the account you have.
Anthropic Claude
Strong at careful reasoning, long documents, and following detailed instructions.
OpenAI
GPT models and the broader OpenAI platform, including its agent and assistant tooling.
Google Gemini
Google's model family, including its native multimodal and long-context capabilities.
AWS Bedrock
A managed way to run several model families inside your own AWS account, with the billing and access controls you already use.
Open-weight models
Llama, Mistral, and other openly licensed models, run through a hosted API or on infrastructure you control.
Whatever you already use
Already have an enterprise agreement or an approved vendor? We build against the account and contract you already have.
Provider-Independent Architecture
The provider sits behind one layer in the application, not threaded through it. Prompts, tool definitions, and business logic live in your codebase; the provider is a swappable dependency, not the foundation everything else is built on.
What this protects you from
A provider raising prices, deprecating a model, changing its terms, or having an outage does not strand your application. You can move to a different model, or a different provider entirely, without starting over.
Private & Local LLM Solutions
Some data should not leave your own environment, and some clients are not permitted to send it to a third-party API at all. For that work, we deploy models privately -- inside your own cloud account or on your own infrastructure -- so nothing goes to a provider you do not control.
The fastest way to start, and the right choice for most projects: your application sends requests to the provider's API and gets a response back.
For sensitive data or strict compliance requirements: the model runs inside your own AWS account or on hardware you control, and nothing is sent to a third party.
- Data leaves your environment to a third-party API
- Model runs inside your own environment
Private Can Also Mean Cheaper
A subscription to a leading model is billed for every request, and at steady volume that adds up fast. An open model running in your own cloud account, or on equipment you buy once, can do the same work for a fraction of the cost over a few years.
- Subscription to a leading AI model, billed by use$0 up front · $6,000 a monthabout $216,000 over 3 years
- Open model running privately in your own cloud account$0 up front · $900 a monthabout $32,400 over 3 years
- Open model on in-house equipment, bought once$10,000 up front · $100 a monthabout $13,600 over 3 years
The cheaper options assume the open model was tested on the real work and handles it well; smaller models can be less capable. In-house equipment also needs someone to look after it.
LLM Startup & MVP Development
Building a new AI product is different from adding AI to an existing one: the risk is not knowing yet whether the idea holds up, so the first job is finding that out cheaply.
Validate the idea
We help you decide what the smallest version of the product needs to prove, before committing to a full build.
Build a working prototype
A real, working version -- not a mockup -- built fast enough to put in front of actual users.
Test with real users
Feedback from real use, not assumptions, is what tells you whether to keep going, change direction, or stop.
Harden for scale
Once the idea is proven, we bring the prototype's architecture up to the reliability, cost control, and provider independence a real product needs.
Where AI Work Meets Our Other Technology Services
An AI feature rarely stands alone. It usually needs to read from or write to your existing systems, and the infrastructure it runs on needs to be built properly.
System Integration
Connecting the AI application to the CRM, database, or internal tools it needs to read from and write to.
Learn moreData & Reporting
Turning what an AI application produces into dashboards and reports people actually use.
Learn moreCloud Architecture & AWS
Hosting, scaling, and securing the infrastructure an AI application and its private models run on.
Learn moreCustom Software Development
The rest of the application around the AI feature -- the parts that are not the model at all.
Learn moreWhat Is and Is Not Included
An AI and LLM engagement covers the application, agent, or integration we agreed on. These boundaries come from our Terms of Service and apply to every technology engagement.
Included in a scoped build
- Discovery, provider evaluation, and a written scope
- Building the application, agent, or integration and its provider-abstraction layer
- Working within the access you provide to the systems involved
- Connecting to the AI provider or private/local model you choose
- Testing against real use cases, with credential turnover and instructions
- Documentation covering how to add, remove, or swap a provider later
Not assumed unless agreed in writing
- Any guaranteed model accuracy, output quality, or behavior
- Training or fine-tuning a new foundation model from scratch
- Ongoing monitoring, maintenance, or support after handoff
- Legal, tax, accounting, privacy-law, or regulatory advice
- Compliance certification or content-moderation guarantees for model output
- Third-party model, API, token, or hosting charges
Which provider or providers are in scope is part of the written agreement, including whether the build supports one provider or several. Adding support for an additional provider after the build is a separate, quoted change.
How AI & LLM Development Is Priced
Work is priced by scope, not by the hour. You get a written scope with a fixed price before anything starts, and larger builds are split into milestones. The ranges below show where engagements typically start. Note that model and token charges are an ongoing cost, not a one-off.
See Starting Prices
| Engagement | When it fits | Investment |
|---|---|---|
| Fit Check | You know the work hurts, but not yet what to build, or whether to build anything: 30 minutes to find out. | Free |
| Custom Engagements | New products, AI agents, private AI, custom applications, modernization and data platforms, scoped and priced in writing. | Quoted in writing |
| Third-party costs | Model, token, API, and hosting charges from your chosen provider, which continue for as long as it runs. | Customer-paid directly |
Your first payment is due before work starts, and each later payment when your written scope sets it. Final files, credentials and the handoff may be held until everything due is paid. If we find the actual scope differs materially from what was described, we stop and give you a revised estimate before doing the additional work.
Hosting, domains, licenses, subscriptions, and processing fees stay in accounts you own and are billed to you directly by each vendor whenever practical. Where we must place an approved charge on your behalf, that amount is collected before we incur it.
After the Build
Every build ends with documentation and a handoff, so your team can run it. For 14 days after delivery (30 for Core Build and Custom work), we fix anything that does not match the agreed scope at no charge. Anything new after that is a new project, with its price in writing before work starts.
See PricingYou own and remain responsible for the account, billing relationship, and payment method with whichever AI provider is used, whether it is an account you already have or one set up in your name during the engagement. Usage-based charges -- tokens, API calls, and compute -- are billed by that provider directly and are not part of our fees. Pricing, availability, rate limits, and model behavior are set by the provider and may change without notice.
Data you send to a third-party AI provider is subject to that provider's own terms and data-handling policies, which we do not control; you remain responsible for confirming that sending your data to your chosen provider is permitted under your own obligations. AI-generated output can be inaccurate, incomplete, or unsuitable for a given use, and should be reviewed before it is relied upon, published, or acted on. We do not independently verify the accuracy of generated output.
You agree to review deliverables promptly. Unless we agree to a different acceptance method in writing, work is deemed accepted on the earliest of: your written approval; your use of the delivered work in production or public release; or five (5) business days after delivery without a written, reasonably specific objection tied to the agreed scope.
T&C Group Holdings, LLC is not a law firm and does not provide legal advice. Technology services are provided for implementation, support, troubleshooting, and general business-use guidance only. AI and language models are probabilistic and will produce incorrect, incomplete, or unexpected output; we do not guarantee any accuracy rate, error-free output, uptime, compatibility with every third-party service or provider, or any particular business or technical outcome. Human review reduces that risk but does not eliminate it, and final responsibility for what is done with AI-generated output remains yours. Ongoing maintenance, monitoring, and support are outside a standard engagement unless separately accepted in writing. This page is a summary for convenience; our Terms of Service govern.
Full terms: Terms of Service
What Would You Build If the Model Never Locked You In?
Tell us what you want the application or agent to do, and which provider -- if any -- you already use. We will come back with a scope, a number, and an honest read on what a first working version looks like.