Services
Everything from strategy to systems in production
We work across the full AI implementation stack. Strategy without execution is a deck. Execution without strategy is waste. We do both.
Every feature in B2base solves something we struggled with firsthand—from follow-up chaos to reporting that actually means something.
Priya Ramanathan
Founder & CEO
AI Strategy & Roadmap
Where every engagement begins. We assess your data, your systems, and your organization's AI readiness
Includes:
AI maturity assessment
Baseline your current data, team, and process readiness across five dimensions
Use-Case Prioritization
Score and rank AI opportunities by feasibility, ROI, and time-to-value
Implementation Roadmap
A phased 12-month plan with milestones, resource requirements, and risk flags
Build vs. Buy Analysis
Structured framework to decide what to build, buy, or configure from foundation models.
Agentic AI Systems
Autonomous multi-agent systems for complex, multi-step workflows. Built with budget controls, audit logs, escalation paths, and human-in-the-loop gates from day one.
Includes:
RAG System Architecture
Retrieval-augmented generation with enterprise document stores, vector databases
Fine-Tuning & Adaptation
Domain-specific model fine-tuning on proprietary data with evaluation and safety testing
LLM Orchestration
Multi-model pipelines with routing, caching, fallback logic, and cost optimization
Enterprise Chatbots & Copilots
Internal tools, customer-facing assistants, and knowledge management systems at scale
Includes:
RAG System Architecture
Retrieval-augmented generation with enterprise document stores, vector databases
Fine-Tuning & Adaptation
Domain-specific model fine-tuning on proprietary data with evaluation and safety testing
LLM Orchestration
Multi-model pipelines with routing, caching, fallback logic, and cost optimization
Enterprise Chatbots & Copilots
Internal tools, customer-facing assistants, and knowledge management systems at scale
AI Integration
The hardest part of enterprise AI is not building the model. It is connecting it to the ERP, CRM, and legacy systems your business already runs on.
Includes:
API Design & Development
Clean, documented APIs that connect your AI systems to the applications
Legacy System Integration
Middleware and adapter layers that make AI work inside infrastructure
ERP & CRM Connectivity
Native integrations with Salesforce, SAP, Oracle, ServiceNow
Data Pipeline Integration
Real-time and batch data flows between your AI systems and the rest of your stack
Principles
Built to deliver. Not to advise and disappear
Production over everything
We measure ourselves on one thing: did the system reach production and generate measurable value? Decks, prototypes, and strategy documents are inputs. A running system is the only output that counts.
Selective intake
We turn down more projects than we take on. Every engagement we accept gets our full attention because we are not running thirty engagements at once with junior teams on each.
Senior-led, always
The principal who leads your discovery call owns your engagement from kickoff to deployment. No handoff to junior teams after contracts are signed. The judgment you are paying for is the judgment you receive.
92%
Of engagements reach production
Honest feasibility
We will tell you if your data is not ready, your use case is not viable, or your timeline is not realistic - before we take your money. That honesty is why 92% of our engagements reach production.
Knowledge transfer by default
We consider it a failure if you need us to maintain something we built three years ago. Every engagement includes structured knowledge transfer so your team can operate, monitor.
Getting Started
Ready to build AI that actually ships?
Book a 30-minute discovery call. We will assess your highest-value AI opportunity and tell you exactly what it takes to build it.
