AI Consulting Services

Practical AI that reduces toil, improves decisions, and integrates cleanly with your systems.

Sheridan Technologies helps teams adopt AI in a way that stands up in the real world. We design, build, and integrate AI solutions that are secure, measurable, and aligned to business outcomes, from LLM integration and RAG knowledge bases to AI agents, workflow automation, and voice AI.

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AI that is useful, safe, and deliverable

You do not need AI experiments that stall in a demo environment. You need production-ready implementations that work with your data, your constraints, and your stakeholders.

We help you:

Identify high-impact use cases with clear ROI and realistic adoption paths
Integrate AI into existing products and operations without breaking reliability or compliance expectations
Reduce risk with security-first architecture, governance, and monitoring
Deliver working increments fast with short sprints, demos, and measurable milestones

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AI Services

End-to-end AI strategy, development, and integration

AI Strategy and Use-Case Prioritization

AI opportunity assessment and roadmap
Workflow mapping, data readiness review, and feasibility analysis
KPI definition and acceptance criteria, so success is measurable

Generative AI and LLM Integration

LLM selection and evaluation (open and commercial)
Prompt design, tool use, and structured outputs
Secure integration into apps, dashboards, and internal tools

AI Agent Development

Task-oriented agents that execute workflows, not just chat
Human-in-the-loop review, approvals, and auditability
Integration with your systems (CRM, ticketing, ERP, knowledge bases)

RAG Knowledge Bases and Enterprise Search

Retrieval-augmented generation (RAG) for internal documents and technical knowledge
Vector search, citation-ready responses, and permission-aware access controls
Data pipelines, indexing strategies, and quality evaluation

Voice AI and Call Automation

Voice agents for intake, scheduling, triage, and internal operations
Telephony integrations and real-time transcription
Escalation paths and guardrails for high-stakes scenarios

Computer Vision and Edge AI

Practical vision systems for inspection, monitoring, and automation
Edge inference constraints, latency budgets, and deployment packaging
Integration with embedded systems and industrial environments when needed

Data Engineering and MLOps Foundations

Data pipelines, observability, and model lifecycle support
Logging, monitoring, evaluation harnesses, and regression testing
Documentation and handoff, so your team is not stuck later

Common AI use cases we deliver

Customer operations: AI-assisted triage, response drafting, knowledge retrieval, ticket enrichment
Back office automation: invoice routing, approvals, onboarding flows, reporting automation
Sales and marketing operations: lead enrichment, summarization, qualification support, content workflows
Engineering productivity: requirements digestion, spec comparison, change impact analysis, internal search
Industrial and field operations: voice workflows, checklists, troubleshooting assistants, vision-assisted QA

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Why Sheridan Technologies for AI

Senior-led delivery with speed and rigor

AI as a force multiplier, not a headline: We implement AI where it measurably reduces waste and improves throughput, not where it adds risk or complexity.
Single point of accountability: One accountable lead coordinates strategy, build, integration, and stakeholder communication.
Security and governance built in: Guardrails, access control, logging, and evaluation from day one.
Integrated systems mindset: AI is most valuable when it fits into real workflows, we specialize in systems integration and modernization.
Lean overhead, senior talent: You get experienced engineers and specialists without enterprise bloat.

Credibility and trust signals

Washington-based engineering partner supporting clients across high-stakes industries, including aerospace and defense, medical, industrial automation, and advanced automation.
Experience operating in environments where security, reliability, and compliance readiness matter.
Transparent delivery with demos, decision checkpoints, and documented risks.

How We Help

A delivery process designed for production outcomes

1) Discovery and first-principles framing

We clarify the real problem, constraints, stakeholders, data sources, and acceptance tests.

2) Risk-aware scoping and architecture

We define the safest path to impact, identify failure modes, and establish governance and security controls.

3) Prototype and validate value quickly

We deliver a working proof in short sprints, with measurable KPIs and clear go/no-go criteria.

4) Production integration

We integrate with your systems, workflows, and permissions, then harden for reliability, security, and maintainability.

5) Monitoring, evaluation, and iteration

We implement evaluation harnesses, logging, and continuous improvement so quality stays stable as your environment changes.

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Tooling and platforms we commonly support

(We select tooling based on your constraints, security posture, and performance needs.)

Model providers and platforms: OpenAI, Azure AI, AWS, Google Cloud, open-source models (as appropriate)
Agent and RAG frameworks: LangChain, LlamaIndex
Vector and data layers: Postgres (pgvector), Pinecone, Weaviate, Elasticsearch, document stores
Automation and integration: n8n, Make, Zapier, custom APIs, webhooks
Voice AI building blocks: Twilio, Deepgram, ElevenLabs (when relevant)

Call to action

Build AI that your team will actually use

If you want real operational impact, start with a short assessment. You will leave with a prioritized use-case list, a realistic roadmap, and a clear next step.

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FAQ

What are AI consulting services, and what do you deliver?

AI consulting services can include strategy, use-case selection, architecture, governance, and implementation planning. Sheridan Technologies delivers both advisory and hands-on build, including AI development, integration, and operationalization.

What is the difference between generative AI and AI agents?

Generative AI produces content or answers. AI agents take actions across tools and systems, such as creating tickets, routing approvals, updating records, or executing workflows, with guardrails and auditing.

Can you build a private RAG knowledge base using our internal documents?

Yes. We build retrieval-augmented generation (RAG) systems that index your documents and return grounded responses with internal sourcing, while respecting permissions and access controls.

How do you reduce hallucinations and improve answer quality?

We use grounding (RAG), structured outputs, tool use, validation checks, and evaluation harnesses. For high-risk workflows, we implement human-in-the-loop approvals and escalation paths.

Can you integrate AI into our existing software and systems?

Yes. We integrate AI into existing web apps, internal tools, CRMs, ticketing systems, and operational workflows via APIs, webhooks, and automation platforms.

Do you support voice AI for intake, scheduling, or call workflows?

Yes. We build voice AI and call automation with real-time transcription, intent handling, escalation logic, and safe handoffs to humans when needed.

How long does an AI project take?

Many projects start with a 2–4 week assessment and prototype phase, then move into production integration based on scope, data readiness, and risk controls.

Do you offer fixed-price AI projects?

When requirements are stable and risk is bounded. Otherwise we typically work time-and-material with sprint demos, clear deliverables, and transparent scope control.