MIGRATION REPEATS LEGACY PROBLEMS
Rehosting leaves operational bottlenecks and unclear ownership unchanged.
Business impact: Migration readiness and service reliability.
Understand where your AWS environment creates friction before adding new applications or automation.
Rehosting leaves operational bottlenecks and unclear ownership unchanged.
Business impact: Migration readiness and service reliability.
Idle resources and unclear allocation obscure business value.
Business impact: Allocation coverage and avoidable spend.
Teams reconcile cloud data with enterprise records manually.
Business impact: Data freshness and integration exceptions.
Models lack trusted context, safe actions and production support.
Business impact: Task quality and unresolved exceptions.
NextBits helps organizations assess, migrate, modernize and manage AWS environments with architecture and operating controls designed together. Connect cloud applications, data platforms and enterprise systems, then expand automation through observable, permissioned workflows.
Define which system owns each record, which team owns the process and which actions require approval. Pair implementation with integration, data quality, security, adoption and operational support.
Start with an achievable release and agreed measures. Expand autonomy as reliability improves, while keeping employees accountable for exceptions and consequential decisions.
Every improvement should specify what becomes connected, who receives the information and how the result will be measured.
Assess workloads and dependencies, define landing-zone controls and sequence modernization around business value.
Accountable teams: Platform and application teams.
Track: Migration readiness and service reliability.
Implement tagging, budgets, workload reviews and cost-owner reporting.
Accountable teams: Finance and engineering.
Track: Allocation coverage and avoidable spend.
Connect systems through governed data pipelines, APIs and monitored events.
Accountable teams: Operations and data owners.
Track: Data freshness and integration exceptions.
Build permission-aware AI workflows with evaluations, approval gates, tracing and recovery.
Accountable teams: Process owners, security and operations.
Track: Task quality and unresolved exceptions.
Connect consulting, delivery and ongoing improvement in one operating roadmap.
Assess your AWS landscape, business processes, integrations, data readiness and operating risks. Define scope, dependencies and a prioritized roadmap with accountable business owners.
Translate agreed processes into AWS configuration and supported extensions. Plan environments, security roles, testing, acceptance criteria and readiness for production.
Sequence application and data change around operational continuity. Profile and cleanse records, rehearse migration, validate reconciliation and define cutover and rollback responsibilities.
Connect AWS with ERP, CRM, commerce, analytics and operational systems using governed APIs or middleware. Define authoritative records, validation, monitoring and exception recovery.
Start with a bounded business task, trusted context and permitted tools. Establish harness controls, evaluations, approvals, execution traces and escalation before expanding automation.
Support the agreed AWS environment through monitoring, incident and change processes, release planning and continuous improvement. Define coverage, response targets and responsibilities for the engagement.
Select capabilities around process fit, existing investments and the agreed delivery scope.
Multi-account architecture, identity, network design, guardrails and operating responsibilities.
Workload migration and modernization across EC2, ECS, EKS and serverless patterns.
Data pipelines and analytics using S3, Glue, Redshift and suitable managed databases.
Grounded AI solution design, evaluation, permitted tools and bounded agent workflows.
API Gateway, EventBridge and Step Functions for coordinated application and event flows.
Monitoring, security posture, backup, recovery, incident processes and cost accountability.
Product names and logos identify technologies addressed by these services. Specific capabilities, licenses and delivery scope are confirmed during assessment. No vendor certification, reseller authorization or formal partner designation is asserted on this page.
Design AWS connections around business records and end-to-end processes, not isolated technical interfaces.
Map customers, employees, products, transactions and service records to authoritative systems. Establish data ownership, access and retention responsibilities.
Use supported APIs, events or middleware with validation, repeat-safe processing, retries and reconciliation. Route failures to an owned support queue.
Provide finance, sales, operations, HR and service the information they are permitted to use, with freshness checks and traceable business context.
Connect AWS processes with trusted enterprise context, orchestration and harness controls so routine work can progress within clear boundaries.
Connect permitted knowledge and operational records to a defined business task with source-level access controls.
Orchestrate allowed APIs and event workflows with validation, retry controls and human approval where required.
Trace executions, track cost and quality, and route failures to responsible teams before expanding scope.
Define task scope, permitted tools, access controls, evaluation criteria, validation, human approvals and recovery paths. Retain execution traces and clear escalation. Payment, publication, access and other consequential actions remain subject to the agreed business controls.
Deliver in phases, prove the first connected workflow and expand against evidence.
Map business goals, current processes, system dependencies, access needs and baseline measures with process owners.
Agree the future workflow, platform fit, data ownership, integration contracts, security and approval boundaries.
Configure capabilities, engineer integrations, migrate validated data and establish monitoring and recovery.
Test end-to-end scenarios, permissions, reconciliation, performance, failure handling and user acceptance.
Rehearse cutover, train teams, confirm support ownership and release in controlled increments.
Review service health, exceptions, adoption and business measures. Improve reliability before extending automation.
Agree baselines and targets with your teams; the appropriate measures depend on the process and scope.
Track migration readiness and service reliability before and after the release. Review exceptions with process owners and validate outcomes against operating conditions.
Track allocation coverage and avoidable spend before and after the release. Review exceptions with process owners and validate outcomes against operating conditions.
Track data freshness and integration exceptions before and after the release. Review exceptions with process owners and validate outcomes against operating conditions.
Track task quality and unresolved exceptions before and after the release. Review exceptions with process owners and validate outcomes against operating conditions.
A AWS engagement should address a defined business need and the surrounding enterprise dependencies.
Connect the relevant AWS capabilities, enterprise records and team handoffs in a scoped roadmap. Confirm readiness, controls and measurable success before implementation.
Connect the relevant AWS capabilities, enterprise records and team handoffs in a scoped roadmap. Confirm readiness, controls and measurable success before implementation.
Connect the relevant AWS capabilities, enterprise records and team handoffs in a scoped roadmap. Confirm readiness, controls and measurable success before implementation.
Connect the relevant AWS capabilities, enterprise records and team handoffs in a scoped roadmap. Confirm readiness, controls and measurable success before implementation.
NextBits combines business applications, software engineering, integration, cloud, data, AI, security and managed services to connect your AWS investment to the wider enterprise.
Start with process friction and accountable owners, then select the platform and delivery scope around the outcome.
Plan applications, data, integrations and operating support together rather than handing each boundary to the customer.
Introduce governed agents and workflow automation in phases, supported by evaluation, monitoring and human approvals.
Identify the process, data or integration bottleneck limiting your AWS environment. Define a practical roadmap that connects systems, automates approved work and gives each team the information to act.