Gulshan branch
Staffing gap and top-item stock exposure are affecting peak-hour sales.
Connect your data, knowledge, models, and ERP workflows to build governed copilots, predictive systems, and AI agents that turn business context into safe, measurable action.
Leadership asks
Which branches need attention this week, why, and what should we approve first?
NimuAI executive brief
4 sourcesTwo branches show a combined workforce, revenue, and inventory risk. NimuAI found the contributing signals, compared the pattern with prior weeks, and prepared actions for human approval.
Gulshan branch
Staffing gap and top-item stock exposure are affecting peak-hour sales.
Uttara branch
Revenue variance is rising alongside delayed receivables and return volume.
Start with a focused assistant or predictive use case, then expand across data, teams, and ERP workflows without rebuilding the foundation. NimuAI combines generative AI, machine learning, retrieval, automation, and enterprise controls in one modular architecture.
Role-aware assistants that answer, analyze, prepare work, call approved tools, and route actions to people when judgment is required.
Chat · tasks · tool use
Ground responses in approved policies, manuals, contracts, product data, tickets, and ERP records with source-aware retrieval.
Search · grounding · citations
Forecast demand, revenue, staffing, attrition, inventory, churn, and operational risk using business-specific signals.
Forecast · score · detect
Extract, classify, validate, summarize, and route invoices, CVs, forms, receipts, agreements, and operational documents.
OCR · extraction · validation
Build multilingual web, app, chat, voice, image, and support experiences for customers and internal teams.
Text · voice · vision
Connect decisions to approvals, alerts, tickets, CRM updates, finance actions, and human-in-the-loop workflows.
Orchestrate · approve · act
Experience layer
Web, mobile, chat, voice, dashboards, APIs
NimuAI intelligence
Models, RAG, agents, rules, evaluation, guardrails
Business systems
NimuHR, finance, NimuPOS, CRM, databases, documents
NimuAI turns repetitive conversations into a controlled operating flow: it responds from trusted knowledge, captures business context, scores visitor intent, and routes the conversation to sales, support, finance, HRM, or CRM teams.
Controlled responses
Uses approved product, policy, FAQ, and service knowledge to reduce inaccurate answers.
Conversation intelligence
Classifies intent, urgency, sentiment, department fit, and next action from each exchange.
Live NimuAI chatbot preview
Real customer assistance interface with demo guidance
Company context
Industry, team size, product interest, and implementation urgency.
Intent score
Demo, support, pricing, integration, partnership, or general research.
Lead packet
Name, phone, email, notes, channel, and recommended follow-up.
Support desk
Issues, complaints, usage help, service questions, and urgent follow-ups.
Sales CRM
Qualified demo requests, pricing conversations, enterprise deals, and partner leads.
NimuAI adds a guided conversation layer to every key page — product discovery, lead qualification, customer support, and structured team handoff.
Page-aware guidance
Adapts conversation prompts for product, pricing, support, career, and contact pages.
Lead and support precision
Collects context before handoff so sales, support, HR, finance, or CRM teams get clean requests.
Website assistant workspace
Visitor intent, page context, conversion path, and handoff queue
nimusoft.com/products/nimu-ai
High-intent visitor
Discover
Ask product-fit questions
Guides visitors toward the right use case.
Assist
Answer from approved content
Keeps responses consistent and accurate.
Convert
Create a lead, ticket, or team task
Routes qualified visitors with clean context.
Product pages
Compare, explain, demo
Support pages
Answer, classify, handoff
Contact pages
Qualify, capture, notify
Nimusoft designs the complete learning workflow around your use case—not just a model demo. Structured ERP records, documents, conversations, images, and event streams can be prepared for retrieval, prediction, classification, or domain-specific model tuning.
01 · Connect and govern
Map sources, ownership, access boundaries, consent, quality, retention, and the business decision the AI must improve.
02 · Prepare and enrich
Clean records, label examples, chunk documents, build features, remove noise, and create evaluation datasets.
03 · Build, train, or tune
Select the right approach: prompt and RAG, classical ML, deep learning, fine-tuning, or a hybrid model architecture.
04 · Evaluate and release
Test accuracy, groundedness, safety, latency, cost, edge cases, and human acceptance before controlled deployment.
05 · Monitor and improve
Track quality, drift, usage, feedback, cost, failures, and business outcomes with versioned improvements.
Model operations workspace
Training data, evaluation, deployment, and live quality
Connected data
Evaluation suite
Choose the right model strategy
Illustrative evaluation signals shown. Production targets are defined per dataset, risk level, workflow, and acceptance criteria.
Use NimuAI to classify customer comments, support logs, social feedback, survey responses, and marketplace reviews across Bangla, English, and other regional communication needs.
Detect complaints, churn risk, service failure, billing frustration, product issues, and urgent recovery moments.
Find informational questions, unclear intent, routine comments, mixed sentiment, and follow-up opportunities.
Identify praise, testimonial potential, service wins, product satisfaction, and promoters for marketing teams.
NimuAI connects insights and assistance to Nimusoft products and existing enterprise systems. Teams can ask questions in plain language, surface exceptions, predict outcomes, prepare decisions, and move approved actions into operational workflows.
A connected decision loop
Employee self-service copilot, policy answers, recruitment screening support, attendance anomalies, staffing forecasts, and workforce risk signals.
Recruitment · attendance · payroll · ESS
Invoice extraction, expense policy checks, cash-flow forecasting, variance explanation, anomaly detection, collections prioritization, and approval summaries.
Invoices · cash flow · controls · forecasts
Demand and inventory forecasts, branch comparisons, basket insights, product recommendations, pricing signals, and exception alerts.
Sales · stock · demand · branches
Lead scoring, conversation summaries, next-best action, churn risk, ticket classification, sentiment, recommendations, and quality coaching.
Leads · support · churn · experience
Production AI needs more than a model. NimuAI combines data boundaries, quality controls, human accountability, and operational visibility across the full lifecycle.
Role-aware experiences, scoped tools, protected data access, environment separation, and least-privilege workflow design.
Approved sources, sensitive-data handling, tenant boundaries, retention controls, and configurable deployment architecture.
Reference datasets, response checks, source-aware answers, regression tests, risk thresholds, and release gates.
Approval checkpoints, escalation paths, reviewer queues, feedback capture, and safe limits on automated actions.
Monitor usage, latency, cost, model quality, failures, retrieval behavior, versions, and workflow outcomes.
Integrate through secure APIs and webhooks with cloud, private environment, or hybrid patterns selected for the use case.
NimuAI can support local and regional operating patterns for Bangladesh, South Asia, Southeast Asia, and fast-growing Asian service markets.
Product questions, order help, return policy, offers, and review analysis.
Service guidance, document help, payment questions, and secure handoff.
Admissions, course questions, student support, and guardian inquiries.
Appointment guidance, service FAQs, patient support, and escalation flow.
HR helpdesk, vendor questions, internal SOP support, and quality feedback.
Booking questions, cancellation support, guest service, and local language help.
Delivery status help, service exceptions, customer updates, and branch routing.
Agent assistance, ticket triage, knowledge lookup, and response quality support.
NimuAI helps Nimusoft customers move from isolated experiments to focused AI products that improve service, decisions, revenue, quality, and operational speed.
Resolve routine questions, qualify demand, summarize conversations, classify tickets, recommend next actions, and hand complex cases to the right team.
Give teams and customers natural-language access to approved knowledge and workflows across Bangla, English, and relevant regional experiences.
Forecast sales, prioritize leads, identify churn, compare branches, recommend offers, and reveal the operational signals behind performance changes.
Extract fields, validate evidence, compare documents, summarize cases, and route invoices, applications, contracts, receipts, and operational forms.
Detect unusual transactions, attendance behavior, stock movement, service failures, negative feedback, and data-quality issues before they grow.
Design and integrate domain-specific copilots, predictive systems, AI-enabled apps, APIs, evaluation suites, and operational dashboards.
Start with one focused use case—an assistant, prediction, document workflow, or ERP copilot—then expand on a governed foundation built around your data and operating model.