Enterprise AI Integration
Production-Grade AI for Enterprise Operations
AI is moving fast. We help you invest in the right initiatives -- integrating AI agents, copilots, and automation into real business workflows without overcommitting to tools that won't last.
30-minute technical discussion about your AI goals and constraints
What We Deliver
AI That Works in Production, Not Just in Demos
We integrate production-grade AI agents, copilots, and automation into your existing business operations -- with the governance, ethics, and architecture to keep it running as the landscape evolves.
AI Copilots & Agents
Internal copilots for support, RevOps, compliance, or engineering workflows. RAG pipelines, guardrails, and human-in-the-loop checkpoints so outputs stay accurate and auditable.
Workflow Integration
Embed AI into CRM, ticketing, ERP, and DevOps pipelines. We train staff, update runbooks, and measure adoption so the automation sticks.
Model Operations
Evaluation harnesses, monitoring, and observability around public APIs or self-hosted models. Built to swap providers as the market shifts.
Responsible AI & Ethics
Bias detection, prompt safety, data governance, and transparent decision-making. Every deployment includes ethical guardrails aligned to your industry and values.
Architecture That Lasts
Future-Proof AI Strategy in a Fast-Moving Landscape
Models and frameworks change monthly. We architect for portability, ethical operation, and vendor flexibility -- so you capture value now without locking into tools that may not exist next year.
- Vendor-Flexible Architecture
- Abstraction layers let you swap between OpenAI, Anthropic, open-source, or self-hosted models as pricing, capabilities, and regulations shift.
- On-Premise & Private Deployment
- Deploy Llama, Mistral, Phi, Gemma, or Granite in your VPC for sensitive workloads. Full control over data residency and access.
- Ethics & Governance Built In
- Bias detection, prompt safety policies, human-in-the-loop controls, and transparent audit trails baked into every deployment.
- Team Enablement & Transfer
- Role-based training, governance policies, prompt libraries, and adoption dashboards so your team can iterate without us.
Not Sure What's Worth Investing In?
Walk through your use cases, data posture, and constraints with an AI architect. We will help you separate lasting value from hype -- no commitment required.
From our consulting clients
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.
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.
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.
Workflow has been great. We generally hold a few meetings as needed and communicate via Slack otherwise.
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.
Pilotcore made a number of suggestions about architecture which greatly improved security and redundancy.
The project was delivered on time, and the agreed-upon scope was implemented fully.
Dedication and willingness to go the extra mile even when challenges came up on our end.
The attention to detail and commitment to the process is admirable.
All of our VMs and databases have been deployed without issue. The structured setup has been very robust.
The level of competence was obvious after just a single meeting.
Their understanding and experience with the AWS suite of products and solutions were impressive.
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.
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.
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.
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.
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.
Workflow has been great. We generally hold a few meetings as needed and communicate via Slack otherwise.
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.
Pilotcore made a number of suggestions about architecture which greatly improved security and redundancy.
The project was delivered on time, and the agreed-upon scope was implemented fully.
Dedication and willingness to go the extra mile even when challenges came up on our end.
The attention to detail and commitment to the process is admirable.
All of our VMs and databases have been deployed without issue. The structured setup has been very robust.
The level of competence was obvious after just a single meeting.
Their understanding and experience with the AWS suite of products and solutions were impressive.
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.
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.
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.
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.
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.
Workflow has been great. We generally hold a few meetings as needed and communicate via Slack otherwise.
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.
Pilotcore made a number of suggestions about architecture which greatly improved security and redundancy.
The project was delivered on time, and the agreed-upon scope was implemented fully.
Dedication and willingness to go the extra mile even when challenges came up on our end.
The attention to detail and commitment to the process is admirable.
All of our VMs and databases have been deployed without issue. The structured setup has been very robust.
The level of competence was obvious after just a single meeting.
Their understanding and experience with the AWS suite of products and solutions were impressive.
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.
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.
Phased Enablement
From Exploration to Production in Three Phases
Technical build + workflow integration + people readiness. Share this with finance, legal, and engineering so everyone has the same view of effort and deliverables. Duration varies based on scope, data readiness, and compliance requirements.
PHASE 1
Discover & validate
- Data readiness, privacy, and policy review
- Agent/automation proofs-of-concept with real data
- Evaluation harness + success metrics defined
- Executive briefing with KPIs
PHASE 2
Build & integrate
- APIs, automations, and guardrails deployed
- RAG pipelines and observability operational
- Ethics review + compliance narrative
- Incident response playbooks delivered
PHASE 3
Train & transfer
- Role-based training, SOPs, and prompt libraries
- Feedback loops + model evaluation cadence
- Adoption dashboard + backlog handed to owners
- Hypercare period begins
Want to Start Small? Try a Discovery Sprint
Not ready for a full program? Start with a focused 2-4 week discovery sprint to validate a single use case and build internal confidence before expanding scope.
Plan Your AI PilotStakeholder Confidence
What Every Stakeholder Needs to Know About Your AI Pilot
Each group cares about different risks. Here is how each role can evaluate the pilot on its own terms.
Executive & Board
Invest wisely in a shifting landscape
- Executive-ready roadmap with phase gates before scaling spend.
- Vendor-flexible architecture that avoids lock-in to any single model or platform.
- Responsible AI policy, privacy documentation, and ethics framework 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 & Ethics
No surprises in audits, contracts, or ethics reviews
- Data residency + retention matrix for each model choice.
- Human-in-the-loop controls mapped to SOC 2 / HIPAA / CMMC.
- Bias detection, prompt safety, and transparent decision audit trails.
- Procurement packages for third-party or self-hosted models.
AI adoption questions we answer every week
Self-Assessment
Navigating the AI Landscape?
The AI space moves fast. Talk through your use cases, constraints, and concerns with an architect who can help you invest wisely -- no commitment required.
Schedule a Discovery Call30-minute technical discussion with a senior architect
Ready to Integrate AI Into Your Operations?
Start with a focused discovery sprint or dive into a full program. Either way, you get hands-on architects who build responsibly and transfer knowledge to your team.