Generative AI Consulting Services
We help US businesses and startups move from AI curiosity to AI that works in production. Our generative AI consulting services combine strategic advisory with hands-on technical implementation, so you don't just get a roadmap, you get a working system. We identify high-impact use cases, select the right LLMs (GPT-5, Claude, Gemini, or open-source), and deploy generative AI solutions that deliver measurable ROI within 90 days.
Our approach: We focus on strategic AI architecture aligned with your business objectives, not chasing trends. Instead of one-size-fits-all solutions, we evaluate your data, processes, and product goals to determine exactly where generative AI delivers the most value.
Leanware is a Trusted Partner for Great American Companies.
Every successful GenAI implementation starts with a clear strategy. We work with your team to map your current processes, identify the highest-ROI opportunities for generative AI, and build a prioritized roadmap, not a generic slide deck, but a concrete plan with technical feasibility assessments and resource estimates for each initiative.
Deliverables:
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Prioritized AI opportunity matrix with ROI projections
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Technical feasibility assessment per use case
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90-day implementation roadmap with clear milestones
What Our Generative AI Consulting Includes
AI Integration Services
Conversational AI & Intelligent Automation
AI Copilots & Intelligent Assistants
Advanced AI systems that integrate directly into your software ecosystem, acting as intelligent assistants that understand your specific workflows, terminology, and operational needs.
Deliverables:
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Custom AI development tailored to your software ecosystem
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Seamless integration with existing business applications
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Enterprise-grade security compliance and scalable architecture
Conversational AI Systems
Sophisticated conversational AI that handles complex interactions while maintaining natural, context-aware dialogue. Whether for internal operations or as core product features, these systems understand intent, manage multi-turn conversations, and seamlessly escalate to human oversight when required.
Deliverables:
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Custom conversational AI with advanced natural language understanding
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Intent recognition and context management systems
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Multi-channel deployment capabilities
Document Intelligence & Knowledge Management
AI Copilots & Intelligent Assistants
Custom AI systems that read, understand, and process documents with high accuracy while extracting actionable insights. These solutions handle various document types and formats, automating previously manual processes while maintaining precision and consistency.
Deliverables:
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Custom document processing AI trained on your document types
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OCR integration for comprehensive document handling
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API development for seamless business system integration
RAG Systems: AI-Powered Knowledge Access
Retrieval-Augmented Generation (RAG) systems provide instant access to your company's knowledge or power intelligent features in your product through natural language queries. These solutions maintain strong security standards while delivering accurate, up-to-date information from across your data ecosystem.
Deliverables:
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Custom RAG architecture designed for your data structure
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Secure embedding pipelines with privacy-compliant processing
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Privacy-compliant deployment with access controls and audit trails
Automated Knowledge Management
Intelligent automation systems that maintain and optimize knowledge bases with minimal manual effort while ensuring information accuracy, relevance, and accessibility across your team.
Deliverables:
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Automated content updating systems with intelligent change detection
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Real-time synchronization across multiple data sources
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Quality assurance workflows with automated validation
Custom AI Integration & Optimization
Custom AI Models & Domain Specialization
Custom models developed and trained specifically for your domain, ensuring optimal performance for your unique use cases, terminology, and business or product requirements
Deliverables:
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Custom model development tailored to your specific data and requirements
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Domain-specific training data preparation and validation
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Robust deployment infrastructure with comprehensive monitoring
AI Optimization & Performance Engineering
Systematic optimization and engineering that transforms standard AI implementations into solutions perfectly aligned with your business requirements or product vision, communication style, and operational processes.
Deliverables:
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Custom model optimization for peak performance
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Strategic prompt engineering with iterative testing and validation
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Comprehensive performance benchmarking and continuous improvement
Advanced AI Workflow Systems
Sophisticated AI workflows that handle complex, multi-step operations reliably while integrating seamlessly with existing business processes or serving as core product functionality.
Deliverables:
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Complex workflow automation with advanced logic capabilities
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Multi-step AI chains with conditional branching and decision points
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Robust error handling and recovery systems
Multimedia AI Capabilities
AI Visual Processing & Generation
Advanced computer vision and image generation systems that automate visual content processing while maintaining quality standards and consistency with your brand and operational requirements.
Deliverables:
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Custom computer vision models for specific applications
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AI-powered image generation systems with consistency controls
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Performance optimization for high-volume processing environments
AI Multimedia Processing
Automated speech and video processing systems that transform multimedia content into actionable insights, searchable information, and structured data for enhanced content management and analysis.
Deliverables:
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Custom speech processing solutions with domain adaptation
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Advanced video analysis systems for comprehensive content understanding
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Seamless integration with existing content management systems
Enterprise AI Architecture & Reliability
Multi-Model AI Orchestration & Enterprise Systems
Robust AI architecture that ensures consistent performance, cost optimization, and vendor flexibility—critical factors for enterprise-scale AI deployment and startup product scalability
Deliverables:
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Enterprise AI architecture design with comprehensive scalability planning
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Cost optimization strategies across multiple AI providers and models
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Advanced performance monitoring and automated scaling capabilities
We've been building with large language models since before generative AI was a mainstream term. That early-adopter experience means we've already made, and learned from the mistakes most teams are about to encounter. We don't build impressive demos that break in production. We build systems that work.
Why?
Why Choose Leanware
for Generative AI Consulting
We've been building with large language models since before generative AI was a mainstream term. That early-adopter experience means we've already made, and learned from the mistakes most teams are about to encounter. We don't build impressive demos that break in production. We build systems that work.
AI-First Development Team
Our engineers have hands-on experience with the practical challenges of production AI systems, not just the theory.
Early Adopter Experience
We've navigated the full learning curve of GenAI deployment, from initial excitement to technical roadblocks to stable, scalable systems.
Technical Focus
We measure success by systems running reliably in production, delivering measurable business outcomes, not slide decks.
Technical Focus
Our approach emphasizes getting AI systems working reliably in production environments, not just impressive demos that fall apart under real-world conditions.
Our AI Implementation Methodology
Objective: Deep dive into your business context and AI readiness to identify promising opportunities.
Key Activities: Business process analysis, product roadmap review, technical assessment, stakeholder interviews, competitive analysis
Deliverables: Current state assessment, opportunity matrix, technical readiness evaluation
Objective: Explore viable AI solutions and develop a strategic approach with clear priorities aligned to your business model or product goals.
Key Activities: Use case feasibility analysis, technology evaluation, resource planning, success metrics definition.
Deliverables: Strategic AI roadmap, technology recommendations, implementation timeline
Objective: Test and validate solutions through controlled experiments and prototypes.
Key Activities: Rapid prototype development, A/B testing, performance baseline establishment, architecture validation.
Deliverables: Working prototypes, performance validation reports, refined implementation plan
Objective: Refine solutions based on experimental results and prepare for production deployment or product integration.
Key Activities: Solution refinement, integration optimization, user feedback incorporation, compliance validation.
Deliverables: Production-ready solution, optimization reports, deployment specifications
Objective: Launch with ongoing monitoring and improvement processes.
Key Activities: Controlled rollout, performance tracking, user training, improvement framework setup.
Deliverables: Deployed system, monitoring dashboard, training materials, optimization plan.
Hear What Startups and Companies
Are Saying About Leanware
"Leanware unlocked our frontend dev—now we ship major updates every 2–3 weeks and move faster."
Morgan Venable,
Head of Product Groundlight
“Leanware's adaptability in project methodology greatly enhances our unique startup operations”
Ricardo Patino,
CEO 2MoonCapital
"Leanware is incredibly responsive. Their team is quick to reply and fantastic at tackling problems."
Barb Heathcote,
Manager docbraces
FAQ
Frequently Asked Questions
We can begin Angular projects within 5-7 business days. Our bench of pre-vetted senior developers allows rapid team assembly. Initial kickoff includes environment setup, codebase access, and project planning sessions.
Project timelines vary based on complexity. MVP applications launch within 8-12 weeks, enterprise platforms require 4-6 months, and migrations typically complete within 3-5 months. We provide detailed timeline estimates after technical discovery.
Yes, we offer flexible engagements starting from one-month contracts. Short-term developers integrate quickly for specific features, technical spikes, or deadline-critical deliverables.
Our quality assurance process includes mandatory code reviews, automated testing requirements (minimum 80% coverage), static code analysis, performance benchmarking, and security scanning. Every commit passes through CI/CD quality gates.
Absolutely. Our developers excel at understanding existing architectures, following established patterns, and improving legacy code. We begin with codebase analysis, identify improvement opportunities, and maintain backward compatibility.
We specialize in modern Angular versions (15+) for new development while maintaining expertise in legacy versions for support and migration projects. Our team stays current with Angular releases, ensuring we work with supported versions and adopt new releases promptly.
Communication flows through dedicated Slack/Teams channels, daily standups via video calls, weekly sprint reviews, and bi-weekly stakeholder demos. Project dashboards provide real-time visibility into progress, budgets, and timelines.
Yes, we sign comprehensive NDAs before project discussions. Our developers work within your security protocols, use your source control systems, and follow your intellectual property guidelines. We maintain SOC 2 compliance for data security.
FAQ
Frequently Asked Questions
Projects range from $15K–$30K for a discovery + PoC, $50K–$100K for a focused implementation, and $150K+ for enterprise-scale systems. Final cost depends on complexity, integrations, and data volume.
At ~10K queries/month, expect $300–$800/mo: ~$50 embeddings, $100–$200 vector DB, $150–$500 LLM API calls, plus infrastructure. Costs scale with query volume and model tier.
We offer fixed-price for defined scopes (PoCs, audits), T&M for exploratory builds, and monthly retainers for ongoing optimization or support. Most engagements start fixed, then move to retainer.
Our fee covers design, development, and delivery. Clients pay directly for API usage (OpenAI, Anthropic), cloud infrastructure (AWS/GCP/Azure), and vector DB licenses. We provide cost estimates upfront.
Minimum: accessible data sources (structured or documented), API credentials for your existing tools, and one internal technical point of contact. We'll assess readiness in the discovery phase.
You'll work with a dedicated tech lead, an AI engineer, and a project manager. We run weekly syncs, async updates via Slack or email, and provide a shared project tracker from day one.
A functional MVP typically takes 4–6 weeks. A production-ready, tested system runs 10–12 weeks. Timeline depends on data readiness, integration complexity, and internal feedback cycles.
Not necessarily. We architect systems to minimize third-party data exposure, using Azure OpenAI (data stays in your tenant), private deployments, or on-premise models for sensitive use cases.
Yes. We've built compliant AI systems for regulated industries. We design data flows that meet HIPAA and SOC 2 requirements and can work within your existing compliance framework and BAA requirements.
Yes. We sign NDAs before any discovery conversation and execute data processing agreements (DPAs) as needed. This is standard in our onboarding process, not an exception.
Our team is fully in-house, nearshore engineers based in Colombia, working US time zones. We don't outsource or staff projects with subcontractors. You always know who's building your system.
You do. Clients receive full ownership of all code, models, and documentation. We deliver clean, documented codebases designed so your internal team can maintain and extend them independently.
Yes. We offer post-launch retainers covering model monitoring, prompt updates, performance tuning, and incident response. Engagements typically start at $3K–$8K/month depending on system complexity.
Yes. We've built AI systems across healthcare (HIPAA-compliant document processing), fintech (compliance automation), legal (contract analysis), and e-commerce (personalization and support automation).
Ready to Build with Generative AI?
Whether you're exploring your first GenAI use case or scaling AI across your organization, we can help you move faster and with more confidence. Tell us about your project and we'll be direct about what's feasible, what it costs, and what results you can expect.
Transform uncertainty into competitive advantage. Let's build your AI future together.