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Applied AI Delivery
Ship AI Agents, Copilots & Automations That Teams Actually Use
We design, build, and integrate AI tools across your workflows--public APIs like ChatGPT, Claude, and Grok, open-source models running on Ollama, or fine-tuned private models.
Tell us where you need leverage--customer experience, internal ops, or product--and we'll outline an actionable roadmap.
Where we create value
AI Programs Built for Real Work, Not Slide Decks
Agents, copilots, workflow automation, and secure model operations—designed for the teams who will live with them every day.
AI Copilots & Agents
Internal copilots for engineering, support, RevOps, or compliance workflows. Chain-of-thought planning, retrieval augmented generation (RAG), and guardrails so responses stay accurate and traceable.
Workflow & System Integration
Embed AI into CRM, ticketing, ERP, and DevOps pipelines using Python, TypeScript, N8N, Airflow, or bespoke APIs. Train staff, update runbooks, and measure adoption so the automation actually sticks.
Data & Model Ops
Build feature stores, evaluation harnesses, and monitoring around public APIs (ChatGPT, Claude, Grok) or self-hosted Ollama clusters serving Llama 3, Mistral 8x7B, Phi-3, Gemma 2, Granite, and more.
The project was delivered on time, and the agreed-upon scope was implemented fully.
The level of competence was obvious after just a single meeting.
The cloud migration was a success and did not impact production operations. Infrastructure is now managed via code, and the internal development team was empowered to extend and add to the code base.
Their understanding and experience with the AWS suite of products and solutions were impressive.
Our staging environment was set up in its entirety in AWS, including ECS, CloudFront, load balancing, Fargate, cron jobs, etc. Our app was 100% functional in the new infrastructure.
All of our VMs and databases have been deployed without issue. The structured setup has been very robust.
Nelson was awesome to work with. He came in and became a great partner to our lead engineer, helped architect a sustainable solution, and then handed over everything smoothly. Great communicator and his senior experience helps get things done right the first time.
Nelson did a great job at figuring out numerous things specific to our setup, resolving unforeseen problems as they arose. He provided further guidance and advice on things outside of the original scope as well.
A project manager was assigned to the project and put in charge of monitoring deliverables and communication. Pilotcore always delivered on time on the items assigned to them and was always responsive to inquiries and requests.
The attention to detail and commitment to the process is admirable.
Dedication and willingness to go the extra mile even when challenges came up on our end.
Workflow has been great. We generally hold a few meetings as needed and communicate via Slack otherwise.
Pilotcore made a number of suggestions about architecture which greatly improved security and redundancy.
Nelson quickly understood our requirements and made it extremely easy to get started with the project. He delivered the project on time and with excellent documentation.
The project was delivered on time, and the agreed-upon scope was implemented fully.
The level of competence was obvious after just a single meeting.
The cloud migration was a success and did not impact production operations. Infrastructure is now managed via code, and the internal development team was empowered to extend and add to the code base.
Their understanding and experience with the AWS suite of products and solutions were impressive.
Our staging environment was set up in its entirety in AWS, including ECS, CloudFront, load balancing, Fargate, cron jobs, etc. Our app was 100% functional in the new infrastructure.
All of our VMs and databases have been deployed without issue. The structured setup has been very robust.
Nelson was awesome to work with. He came in and became a great partner to our lead engineer, helped architect a sustainable solution, and then handed over everything smoothly. Great communicator and his senior experience helps get things done right the first time.
Nelson did a great job at figuring out numerous things specific to our setup, resolving unforeseen problems as they arose. He provided further guidance and advice on things outside of the original scope as well.
A project manager was assigned to the project and put in charge of monitoring deliverables and communication. Pilotcore always delivered on time on the items assigned to them and was always responsive to inquiries and requests.
The attention to detail and commitment to the process is admirable.
Dedication and willingness to go the extra mile even when challenges came up on our end.
Workflow has been great. We generally hold a few meetings as needed and communicate via Slack otherwise.
Pilotcore made a number of suggestions about architecture which greatly improved security and redundancy.
Nelson quickly understood our requirements and made it extremely easy to get started with the project. He delivered the project on time and with excellent documentation.
The project was delivered on time, and the agreed-upon scope was implemented fully.
The level of competence was obvious after just a single meeting.
The cloud migration was a success and did not impact production operations. Infrastructure is now managed via code, and the internal development team was empowered to extend and add to the code base.
Their understanding and experience with the AWS suite of products and solutions were impressive.
Our staging environment was set up in its entirety in AWS, including ECS, CloudFront, load balancing, Fargate, cron jobs, etc. Our app was 100% functional in the new infrastructure.
All of our VMs and databases have been deployed without issue. The structured setup has been very robust.
Nelson was awesome to work with. He came in and became a great partner to our lead engineer, helped architect a sustainable solution, and then handed over everything smoothly. Great communicator and his senior experience helps get things done right the first time.
Nelson did a great job at figuring out numerous things specific to our setup, resolving unforeseen problems as they arose. He provided further guidance and advice on things outside of the original scope as well.
A project manager was assigned to the project and put in charge of monitoring deliverables and communication. Pilotcore always delivered on time on the items assigned to them and was always responsive to inquiries and requests.
The attention to detail and commitment to the process is admirable.
Dedication and willingness to go the extra mile even when challenges came up on our end.
Workflow has been great. We generally hold a few meetings as needed and communicate via Slack otherwise.
Pilotcore made a number of suggestions about architecture which greatly improved security and redundancy.
Nelson quickly understood our requirements and made it extremely easy to get started with the project. He delivered the project on time and with excellent documentation.
Equip Every Stakeholder to Approve Your AI Pilot
Each group cares about different risks. Use these talking points in steering committee updates and QBRs.
Executive & Board
Prove ROI and risk posture
- • Executive-ready roadmap tied to revenue, savings, or CX metrics.
- • Budget guardrails and phase gates before scaling spend.
- • Policy, privacy, and responsible AI documentation packaged up.
- • Monthly adoption dashboards + quarterly business reviews.
Engineering & Ops
Ship safely with the stack you own
- • Python/TypeScript reference repos + IaC modules delivered.
- • Incident + change management playbooks aligned with SRE.
- • Handoff for RAG pipelines, eval harnesses, and monitoring.
- • Pairing / enablement so teams can extend automations solo.
Security, Legal & Compliance
No surprises in audits or contracts
- • Data residency + retention matrix for each model choice.
- • Human-in-the-loop controls mapped to SOC 2 / HIPAA / CMMC.
- • Prompt logging, guardrails, and abuse detection baked in.
- • Procurement packages for third-party or self-hosted models.
Executive triage
AI Adoption Readiness Estimator
Answer a few questions and we'll recommend the right pilot model, budget range, and stakeholder roster. Great for briefing execs.
Recommended pilot
Budget & timeline
Stakeholders
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Thanks! Check your inbox—the detailed plan is on the way.
90-day enablement
From Exploration to Production in Three Phases
Technical build + workflow integration + people readiness. We don't hand over until your teams can maintain the system without us.
Days 1-30 · Discover
Use-case selection & rapid prototypes
- Data readiness, privacy, policy review.
- Agent/automation proofs-of-concept with real data.
- Evaluation harness + success metrics defined.
Days 31-60 · Build
Hardening & workflow integration
- APIs, automations, and guardrails deployed.
- Python/N8N/LangChain services productionized.
- Observability + incident response playbooks.
Days 61-90 · Train & scale
Staff training & full rollout
- Workshops, SOPs, and certifications for end-users.
- Feedback loops + model evaluation cadence.
- Adoption dashboard + backlog handed to owners.
Model strategy
Choose the Right Intelligence Layer for Each Use Case
We mix and match public, private, and open-source models based on security, latency, and cost constraints—then train your teams to run them confidently.
Public APIs
OpenAI (ChatGPT/GPT-4o), Anthropic Claude 3, and Grok via X.ai for customer-facing experiences, multilingual support, and high-context conversations.
Ollama & Open Source
Deploy Llama 3 70B, Mistral 8x7B, Phi-3, Gemma 2, Granite, and Mixtral locally or in your VPC for sensitive workloads, edge inference, and offline environments.
Domain-Focused Fine-Tuning
LoRA/QLoRA adapters, retrieval tuning, evaluation harnesses, and continuous feedback loops so your models stay aligned with policy, tone, and compliance requirements.
Tooling & infrastructure
Ship AI with the Stack Your Engineers Already Use
Python, TypeScript, Terraform, N8N, LangChain, LangGraph, Hugging Face, Pinecone, Weaviate, Redis, AWS Bedrock, Azure OpenAI, Google Vertex, and Kubernetes-based inference services.
Languages & Orchestration
- • Python / FastAPI
- • TypeScript / Node
- • N8N / Airflow / Temporal
- • Terraform / Pulumi
AI Frameworks & Infra
- • LangChain / LlamaIndex
- • Vector DB: Pinecone, Weaviate, pgvector
- • MLOps: MLflow, Weights & Biases
- • Serving: Ollama, AWS Sagemaker
Adoption & training
People Enablement Is Part of the Project Plan
AI tooling fails when teams aren't equipped to use it. We coach, certify, and embed change management in every engagement.
Executives, builders, and end-users get tailored sessions, labs, and quick-reference guides.
AI acceptable-use policies, prompt libraries, and incident playbooks so compliance stays intact.
Usage analytics, feedback loops, and backlog grooming so you can iterate without us.
Timeline & investment
AI Program Timeline & Investment Guide
Share this with finance, legal, and engineering so they know the effort, sequencing, and commercial commitments before kickoff.
Weeks 1-4
Discovery & sandbox pilots
- • Use-case scoring, data governance and policy review.
- • Proofs-of-concept with live data + evaluation harness.
- • Adoption thesis + executive briefing with KPIs.
Weeks 5-10
Build & integrate
- • APIs, automations, and guardrails productionized.
- • RAG pipelines, observability, and controls deployed.
- • Security review + compliance narrative for stakeholders.
Weeks 11+
Scale & enable
- • Role-based training, SOPs, and prompt libraries.
- • Adoption dashboard + backlog handed to owners.
- • Ongoing tuning program or handoff to internal teams.