FRAGMENTED KNOWLEDGE
Connect approved knowledge sources with permissions-aware retrieval. Employees receive referenced answers; unresolved questions go to subject owners.
Measure: Answer accuracy, source coverage, and time to find information.
BUSINESS CHALLENGES
CLOSE THE GAP BETWEEN AI POTENTIAL AND OPERATIONAL VALUE
Disconnected applications, inconsistent data, and isolated pilots limit the value of AI. NextBits maps each challenge to a connected process, accountable users, and measurable progress.
MANUAL DOCUMENT HANDOFFS
Extract and validate records, route exceptions for review, and update approved transactions. Finance and operations see processing status.
Measure: Processing time, manual touches, and exception rate.
AI PILOTS DISCONNECTED FROM WORK
Integrate evaluated AI capabilities with ERP, CRM, and service workflows. Process owners control which actions are automated.
Measure: Task completion, adoption, and successful workflow execution.
UNTRUSTED OR DELAYED INFORMATION
Improve data quality, ownership, and freshness. Department leaders receive consistent reporting and actionable alerts.
Measure: Data quality failures, reporting freshness, and resolution time.
AGENTIC AI & AUTOMATION SERVICES
BUILD AGENTIC INTELLIGENCE INTO EVERYDAY BUSINESS WORK
Connect reasoning, enterprise context, and permitted actions around a defined business process. Choose the simplest reliable approach and expand autonomy as evidence and operating controls support it.
AGENTIC AI STRATEGY & READINESS
Identify where adaptable agent behaviour adds value and where a fixed workflow is safer. Define process owners, data readiness, approval boundaries, and a phased roadmap.
ENTERPRISE KNOWLEDGE & CONTEXT ENGINEERING
Ground assistants and agents in permitted business data using retrieval-augmented generation (RAG). Shape context, source references, session state, and retention around each user and task.
AI AGENTS & AGENTIC PROCESSES
Build agents that interpret a goal, select permitted tools, and adapt their next steps. Bound actions by policy and connect exceptions to accountable business teams.
WORKFLOW & MULTI-AGENT ORCHESTRATION
Coordinate tasks, specialist agents, and human approvals through defined handoffs. Track state, retries, timeouts, and completion criteria; use multiple agents only where they add measurable value.
AGENT HARNESS ENGINEERING
Build the execution layer around the model: instructions, context management, tool routing, permissions, checkpoints, recovery, and stopping rules. Make long-running work inspectable and resumable.
TOOL INTEGRATION & MCP CONNECTIVITY
Connect approved APIs and Model Context Protocol (MCP) tools with least-privilege access. Validate inputs, restrict writes, and protect workflows from untrusted instructions and tool output.
INTELLIGENT DOCUMENT PROCESSING
Extract and validate information from invoices, forms, and service documents. Agents can coordinate follow-up tasks; reviewers resolve uncertainty before business records are updated.
PREDICTIVE INTELLIGENCE
Develop forecasting, anomaly detection, and prioritization around trusted data. Deliver signals to planners and process owners, with controlled follow-up actions and human judgement.
AGENTOPS, EVALUATION & GUARDRAILS
Test tool selection, task completion, grounded answers, and failure recovery. Monitor traces, quality, latency, and cost; manage releases and operational incidents with clear ownership.
BUSINESS USE CASES
PUT INTELLIGENCE WHERE DECISIONS AND ACTIONS HAPPEN
Illustrative agentic workflows connect information, permitted tools, and human decisions. Prioritize the first use case around operational value, data readiness, and acceptable risk.
FINANCE: INVOICE TO APPROVED POSTING
Read invoice details, check supplier and purchase-order records, and flag mismatches. Finance reviews exceptions before approved posting. Track manual effort and processing time.
SUPPLY CHAIN: SIGNAL TO PLANNER ACTION
Combine inventory, order, and supplier information to identify shortages or unusual demand. Planners review recommendations and approve replenishment. Track exception resolution and forecast performance.
SALES & SERVICE: KNOWLEDGE TO RESOLUTION
Retrieve permitted account and product information to draft responses and next steps. Sales or service teams approve outbound commitments. Track answer quality and resolution time.
HR & IT: REQUEST TO COORDINATED ONBOARDING
Interpret approved onboarding requests, coordinate permitted tasks across systems, and alert owners when actions fail. Keep employee data role-restricted. Track completion time and overdue tasks.
AI ECOSYSTEM
AI PLATFORMS SELECTED AROUND BUSINESS REQUIREMENTS
Select models and services by use case, data handling, deployment, response quality, tool support, and cost. Agree platform fit and implementation scope during assessment.
OPENAI
Integrate models into knowledge assistants, document workflows, and tool-enabled applications. Evaluate responses, control tool access, and monitor quality and consumption.
ANTHROPIC
Connect Claude to approved knowledge and tools for document analysis, employee assistance, and workflow support, with evaluation and action boundaries.
MISTRAL AI
Assess models and deployment options against privacy, performance, hosting, and integration requirements. Validate quality with representative business tasks.
Google Cloud AI & GEMINI
Connect Gemini-enabled applications with enterprise knowledge, cloud data, and business workflows, with governed access and task-specific evaluation.
Microsoft AI
Connect Microsoft AI services, Copilot experiences, and business applications around identity, permissions, approved knowledge, and controlled workflow actions.
GROK / XAI
Evaluate Grok for knowledge assistance and tool-enabled workflows. Validate enterprise data handling, access policies, response quality, and integration requirements before deployment.
META & LLAMA
Assess Llama models and compatible deployment options for enterprise assistants and agents. Validate licensing, hosting, tool behaviour, security, and task-specific quality.
CONNECTED ARCHITECTURE
CONNECTING AI WITH ENTERPRISE DATA MANAGEMENT
Agentic AI needs a governed operating environment, not just a model. NextBits connects enterprise data, contextual reasoning, orchestration, and harness controls so agents can act within clear permissions and approval boundaries.
Governed
Agentic
EnterpriseHuman Oversight
& Control
Agentic
EnterpriseHuman Oversight
& Control
BUSINESS SYSTEMS
ERP, CRM, commerce, documents, and operational applications.
GROUND ANSWERS IN TRUSTED CONTEXT
Connect ERP, CRM, commerce, documents, and operational sources. Apply quality checks, shared definitions, ownership, lineage, and freshness rules before information reaches analytics or AI.
GIVE EACH ROLE THE RIGHT INFORMATION
Use identity-aware retrieval, curated datasets, semantic models, and source references. Finance, sales, operations, and service teams receive information aligned with their responsibilities.
CONNECT INSIGHT TO CONTROLLED ACTION
Use orchestration and an agent harness to coordinate permitted APIs, checkpoints, and workflow updates. Require approval where needed, record decisions and actions, and route uncertainty or failures to accountable owners.
ENTERPRISE DATA MANAGEMENT
BUILD THE GOVERNED DATA FOUNDATION BEHIND AI
Modernize data as a shared business capability, not a separate reporting project. Make trusted information reusable across analytics, AI, and connected processes.
DATA ARCHITECTURE & ENGINEERING
Design warehouses, lakehouses, ingestion, transformations, and monitored batch or streaming pipelines around business data products and service requirements.
DATA INTEGRATION & QUALITY
Connect source applications, validate records, reconcile changes, and monitor freshness. Send failed quality checks to owners before downstream decisions are affected.
GOVERNANCE & MASTER DATA
Define ownership, shared entities, access roles, cataloguing, lineage, retention, and sensitive-data controls so teams understand and trust the information they use.
SEMANTIC MODELS, BI & DECISION SUPPORT
Create consistent business definitions, reusable measures, and role-specific reporting. Connect relevant signals to approved workflows rather than stopping at dashboards.
DATA PLATFORM ECOSYSTEM
ENTERPRISE DATA PLATFORMS & LAKEHOUSE SERVICES
Select around your existing estate, operating requirements, security, interoperability, and ownership cost. Warehouses, table formats, and query engines play different roles. Confirm delivery scope and specialist expertise during assessment.
CLOUD & HYBRID DATA PLATFORMS
Cloud data & analytics platform
Databricks SERVICES
Unify engineering, analytics, and AI on a governed lakehouse.
- Platform architecture, phased migration, and pipeline engineering
- Unity Catalog governance and analytics or ML integration
- Data validation, workload tuning, monitoring, and support
Connected outcome: Give planners and analysts trusted data for forecasts, exception alerts, and decisions.
Cloud data & analytics platform
Snowflake SERVICES
Connect enterprise data for scalable analytics, sharing, and AI-enabled use cases.
- Architecture, migration, ingestion, and Snowpark development
- Access controls, curated reporting models, and Cortex AI use cases
- Performance tuning, consumption monitoring, and managed optimization
Connected outcome: Give finance and operations consistent measures for reporting and approved AI workflows.
Cloud data & analytics platform
GOOGLE BigQuery SERVICES
Build serverless SQL analytics within the Google Cloud data ecosystem.
- Warehouse modernization, source ingestion, and data modelling
- Batch or streaming designs matched to freshness requirements
- Access policies, query optimization, BI, and AI integration
Connected outcome: Deliver timely customer and operational insight, with quality and cost ownership.
Cloud data & analytics platform
Microsoft FABRIC SERVICES
Connect analytics workloads through Microsoft Fabric and its shared OneLake foundation.
- Ingestion, engineering, lakehouse, and warehouse implementation
- Power BI semantic models and role-specific reporting
- Governance, capacity planning, deployment, and operations
Connected outcome: Connect departmental reporting and AI around shared definitions and governed access.
Cloud data & analytics platform
Amazon Redshift SERVICES
Modernize large-scale SQL analytics in the AWS data ecosystem.
- Warehouse design, migration, ingestion, and data modelling
- Integration with Amazon S3, AWS Glue, and analytics workloads
- Access controls, performance tuning, monitoring, and cost management
Connected outcome: Combine finance, sales, and operational records for reporting and AI context.
Hybrid enterprise platform
Cloudera DATA PLATFORM SERVICES
Connect governed data workloads across on-premises and public-cloud environments.
- Hybrid architecture, platform modernization, and migration planning
- Data engineering, access governance, lineage, and analytics integration
- Operational monitoring, workload tuning, and phased AI readiness
Connected outcome: Give teams governed access across cloud and on-premises environments.
OPEN LAKEHOUSE & FEDERATED ANALYTICS
Apache Iceberg SERVICES
Use an open table format to manage analytical data on object storage.
- Table and catalog design, schema evolution, and snapshot management
- Engine compatibility, migration, data quality, and access policies
- Maintenance, performance validation, and operational handover
Connected outcome: Reuse governed analytical tables across compatible engines with greater portability.
Delta Lake SERVICES
Bring reliable table management to lakehouse data using an open storage framework.
- Transactional table design and batch or streaming pipelines
- Schema controls, data validation, and versioned data workflows
- Maintenance, workload tuning, and compatible-engine integration
Connected outcome: Give analytics and AI consistent datasets with traceable changes.
Starburst & Trino SERVICES
Query supported sources through distributed SQL, reducing unnecessary data movement.
- Connector selection, federated query design, and access governance
- Semantic alignment, source-load assessment, and performance tuning
- Monitoring, deployment, and workload ownership
Connected outcome: Let analysts combine permitted sources while owners manage freshness and source load.
Dremio SERVICES
Connect SQL analytics and semantic access to open lakehouse data.
- Lakehouse architecture, source integration, and Iceberg adoption
- Semantic modelling, governed access, and BI connectivity
- Query optimization, monitoring, and operational support
Connected outcome: Give departments reusable data views for analytics and grounded AI.
DELIVERY & GOVERNANCE
A CONTROLLED PATH FROM ASSESSMENT TO OPERATION
Build security, evaluation, and human oversight into every phase. Expand automation only as evidence, adoption, and operating controls support it.
ASSESS & PRIORITIZE
Map workflows, owners, data readiness, risks, and success measures. Agree the first use case and phased business case.
PREPARE & GOVERN
Connect sources, define access and retention, validate quality, and design approval boundaries and exception paths.
PROTOTYPE & EVALUATE
Test representative tasks, answer grounding, failure cases, security boundaries, and human review. Compare results with agreed acceptance criteria.
DEPLOY & ADOPT
Integrate business applications, train users, document responsibilities, and establish rollout, rollback, and incident procedures.
OPERATE & IMPROVE
Monitor quality, drift, latency, cost, and workflow performance. Review results with owners before extending autonomy.
BUSINESS OUTCOMES & WHY NextBits
CONNECT INTELLIGENCE, ENGINEERING, AND OPERATIONAL OWNERSHIP
NextBits brings business applications, integration, data engineering, AI, and ongoing support together around the work each department needs to perform.
MEASURE BUSINESS PROGRESS, NOT ONLY MODEL PERFORMANCE
Finance tracks reconciliation effort and document cycle time. Operations tracks exception resolution and forecast usefulness. Service teams track answer quality and resolution time. Business owners review adoption, successful actions, and the cost of each workflow.
A PRACTICAL FIT FOR CONNECTED ENTERPRISES
Designed for organizations with fragmented applications, growing knowledge volumes, manual document handling, inconsistent reporting, or AI pilots that need stronger data and operational integration.
PUBLISHED MODERNIZATION EXAMPLE
For an electronics manufacturer, NextBits mapped a phased roadmap connecting customer, product, and quoting data around Adobe Commerce. The plan included AI-assisted discovery and RFQ intake on a shared data foundation.
Read the modernization roadmap. The case describes planned capabilities and target outcomes, not measured agent deployment results.
PHASED DELIVERY WITH CLEAR ACCOUNTABILITY
Agree scope, acceptance criteria, responsibilities, and baseline measures before implementation. We do not assume every process should be autonomous or that a model should act without supervision.
Explore business application integration or see connected supply chain use cases.
GET STARTED
BUILD YOUR INTELLIGENCE & AUTOMATION ROADMAP
Identify a valuable agentic workflow, connect the enterprise data and tools behind it, and define orchestration, harness controls, human approvals, and measurable outcomes.