Services_Operating_Model:

AI services for outcome-driven teams in Gurgaon.

We design and ship production AI systems. From roadmap to deployment, each service is scoped against your workflows, your data reality, and measurable business outcomes.

01

Strategy clarity

Know what to build first and why.

02

Delivery velocity

Move from concept to production safely.

03

Compounding systems

Deploy AI that improves over time.

Service 01

AI Strategy & Transformation

A clear path from AI interest to measurable business value.

Most organizations know AI matters. Few know where to start, what to prioritize, or how to build capability that compounds over time. Tesseraz helps leadership teams design a structured, realistic AI roadmap grounded in operational reality — not vendor promises.

What we deliver

  • AI readiness assessments and gap analysis
  • Opportunity identification across business units
  • Prioritized roadmap with phased investment plan
  • Governance, data, and infrastructure recommendations
  • Build vs. buy decision frameworks
  • Executive alignment workshops

Best fit when

  • • Unclear which AI investments will deliver ROI
  • • Multiple competing priorities with no sequencing logic
  • • Teams experimenting without a shared vision or governance
  • • Existing tools not integrated into actual workflows

Delivery flow

  1. → Discovery: Stakeholder interviews and workflow mapping
  2. → Assessment: Current-state data, systems, and team capability review
  3. → Prioritization: Scored opportunity matrix across business units
  4. → Roadmap: Phased plan with investment, ownership, and success metrics
  5. → Handoff: Governance framework and implementation playbook

Service 02

Custom AI Assistants & Copilots

AI that works the way your team does — not the other way around.

Generic AI tools require your team to adapt to them. Tesseraz builds AI assistants and copilots designed around your specific processes, data, terminology, and operational constraints — so adoption is immediate and value accrues from day one.

What we deliver

  • Custom model configuration and fine-tuning
  • Company-specific knowledge integration
  • Role-based assistant personas and access controls
  • Multi-step task orchestration and guided workflows
  • Integration with internal tools (CRM, ERP, ticketing, docs)
  • Audit logging and output review workflows

Best fit when

  • • Generic AI tools produce generic, unusable output
  • • Teams waste time re-prompting and correcting AI responses
  • • AI does not understand company-specific context or terminology
  • • Sensitive data cannot flow through public AI tools

Delivery flow

  1. → Scoping: Identify the workflow, user, and key use cases
  2. → Design: Define assistant persona, capabilities, and guardrails
  3. → Build: Model configuration, knowledge integration, and interface
  4. → Testing: Internal review, edge-case validation, and output quality gates
  5. → Deploy: Rollout plan, user training, and feedback loop setup

Service 03

Knowledge Search & RAG Systems

Find the right answer across every document, database, and system.

Enterprise knowledge is fragmented — across SharePoint, Confluence, Notion, email, contracts, and dozens of other systems. Tesseraz builds retrieval-augmented generation (RAG) systems that let your team query across all of it in plain language and get accurate, cited answers.

What we deliver

  • Multi-source document ingestion and indexing
  • Semantic search with dense and sparse retrieval
  • Citation-backed answer generation
  • Permission-aware retrieval respecting existing access controls
  • Continuous sync with source systems
  • Query analytics and knowledge gap detection

Best fit when

  • • Critical knowledge buried in documents no one can find
  • • Employees re-doing research that already exists internally
  • • Inconsistent answers to the same question across teams
  • • Onboarding slowed by knowledge that lives only in peoples heads

Delivery flow

  1. → Audit: Map all relevant knowledge sources and access patterns
  2. → Ingestion: Connect, chunk, and index all source content
  3. → Retrieval: Configure search pipeline with hybrid retrieval and reranking
  4. → Generation: Tune response quality, citation format, and guardrails
  5. → Deploy: Production hosting, sync schedule, and analytics setup

Service 04

Workflow Automation & Agentic Operations

Replace repetitive multi-step work with AI that acts, not just answers.

The next generation of AI automation goes beyond simple rule-based triggers. Tesseraz designs and builds agentic systems — AI that can plan, reason, use tools, and complete multi-step tasks autonomously within defined boundaries and approval workflows.

What we deliver

  • Agentic workflow design and orchestration
  • Multi-step task automation with branching logic
  • Tool use and API integration (web, CRM, databases, docs)
  • Human-in-the-loop approval gates
  • Error handling and fallback routing
  • Real-time monitoring and intervention interfaces

Best fit when

  • • High-volume, repetitive tasks consuming skilled employee time
  • • Process handoffs that create delays, errors, and lost context
  • • Manual data extraction and transformation across systems
  • • Complex approval workflows that require human routing

Delivery flow

  1. → Map: Document the current workflow, inputs, outputs, and decision points
  2. → Design: Define agent scope, tool access, approval gates, and error handling
  3. → Build: Implement orchestration, integrations, and monitoring
  4. → Test: End-to-end validation with real data and edge cases
  5. → Deploy: Staged rollout with human oversight before full automation

Service 05

AI Analytics & Decision Support

From raw data to confident decisions — faster than your current process.

Business intelligence is valuable only when it reaches decision-makers in time. Tesseraz builds AI-powered analytics layers that surface insights, explain anomalies, generate narratives, and answer operational questions against your actual data — in plain language.

What we deliver

  • Natural language query interfaces over business data
  • Automated insight narrative generation
  • Anomaly detection and proactive alerting
  • Forecasting and scenario modeling
  • Data pipeline integration (warehouses, databases, APIs)
  • Executive and operational report automation

Best fit when

  • • Analysts spending most of their time on data preparation, not insight
  • • Business leaders unable to access data without analyst support
  • • Dashboards that show data but do not explain what it means
  • • Delayed insights that arrive too late to change outcomes

Delivery flow

  1. → Data Audit: Review data sources, quality, and access
  2. → Use Case Definition: Identify the highest-value analytical questions
  3. → Pipeline Build: Connect, clean, and model the relevant data
  4. → Interface: Build query interface, narratives, and alert configuration
  5. → Validate: Test against historical scenarios and business judgment

Service 06

Customer Support AI

Handle more support volume without compromising on quality.

Support teams face a fundamental scaling problem: volume grows faster than headcount can. Tesseraz builds AI support systems that resolve common issues instantly, route complex cases with full context, and continuously improve from actual support interactions.

What we deliver

  • AI-powered automated resolution for common request types
  • Intelligent triage and routing with context handoff
  • Knowledge base integration and dynamic answer generation
  • Multi-channel deployment (chat, email, portal)
  • Sentiment detection and escalation triggers
  • Agent assist overlays for human-handled tickets

Best fit when

  • • Support volume growing faster than team capacity
  • • Long first-response times damaging customer satisfaction
  • • Repetitive tier-1 issues consuming senior agent time
  • • Inconsistent answers across agents and channels

Delivery flow

  1. → Ticket Analysis: Review existing support volume, categories, and resolution patterns
  2. → Coverage Design: Define automation scope and escalation logic
  3. → Knowledge Integration: Connect help content, documentation, and product data
  4. → Interface Build: Deploy AI layer across channels with agent assist UI
  5. → Monitor: Track resolution rate, CSAT, and escalation patterns

Service 07

Internal Productivity Tools

Make every employee meaningfully more effective at their core work.

Productivity AI is not about replacing employees — it is about removing the friction that keeps them from doing their best work. Tesseraz builds internal tools that handle the administrative, repetitive, and low-value tasks that consume skilled employee time across every function.

What we deliver

  • Meeting intelligence: summaries, actions, and follow-up generation
  • Document drafting, rewriting, and formatting tools
  • Email and communication assistance
  • Internal search and knowledge retrieval
  • Report and presentation generation from structured data
  • Research and briefing automation

Best fit when

  • • High-value employees spending time on low-value administrative tasks
  • • Document creation, summarization, and formatting consuming hours weekly
  • • Meeting follow-up, action tracking, and communication overhead
  • • Research tasks that could be automated with the right context

Delivery flow

  1. → Role Mapping: Identify the highest time-cost tasks by function
  2. → Tool Design: Define the specific workflows to automate or augment
  3. → Integration: Connect to relevant data sources and communication tools
  4. → Build and Test: Develop tools with real users in feedback cycles
  5. → Rollout: Deployment, training, and adoption tracking