Solutions
Diagnosis and roadmap for integration and automation.executable plan in waves
Map processes, data, and systems and define a roadmap in waves. Clear priorities, quick wins, and acceptance criteria to avoid open-ended scope.
possible results
- Less rework and double typing.
Observable reduction of manual tasks through integration and standardization of records.
- Clear and actionable priorities
Backlog and wave-based planning facilitate decision-making and protect against open scope.
- More stable integrations
Acceptance criteria, logs, and monitoring routines to reduce recurring incidents.
- More consistent decisions
Indicators and data with rules for definition and updating, reducing discrepancies between areas.
How works
How we work (methodology) Bytebio)
- Rapid strategic diagnosis
- Architecture and incremental planning
- Agile implementation and integration
- Continuous operation and evolution
What we do
- Map of bottlenecks and risksWe identified the areas where the work "breaks down": rework, queues, lack of standardization, and manual dependencies.
- Inventory of systems and dataWe mapped existing systems, integrations, data sources, and minimum quality requirements.
- Prioritized use case backlogWe transform problems into use cases with a clear scope, dependencies, and success criteria.
- Minimum viable architectureWe designed the minimum architecture required to operate: data, integrations, rules, and governance.
Want to see the details?
Everything about Diagnostics and Roadmap, by topic. Tap to open.
who is it for
Diagnosis and Roadmap is the service for when a company knows it needs to improve integration, automation, and data usage, but is still unclear about where to start , what is feasible with current systems, and how to avoid an overly large project.
A Bytebio Our goal is to transform intention into an actionable plan: we map processes, data, and systems, define a prioritized backlog, and design a phased implementation roadmap. The aim is to reduce risk, increase predictability, and ensure that each deliverable has acceptance criteria and observable impact.
In practice
Some scenarios that we resolved
Below are some real-world scenarios where we applied this approach.
Map of bottlenecks and risks
We identified the areas where the work "breaks down": rework, queues, lack of standardization, and manual dependencies. The deliverable is an objective map of bottlenecks, risks, and opportunities, using language that both operations and IT understand.
Inventory of systems and data
We mapped existing systems, integrations, data sources, and minimum quality requirements. The deliverable is an inventory of "what exists," "what's missing," and "what's weak," to avoid solutions that don't hold up.
Prioritized use case backlog
We transform problems into use cases with a clear scope, dependencies, and success criteria. The deliverable is a prioritized backlog for 30/60/90 days, separating quick wins from structural items.
Minimum viable architecture
We designed the minimum architecture required to operate: data, integrations, rules, and governance. The deliverable is a design simple enough to execute and robust enough to evolve.
Phased implementation plan
We organize the work into sprints with verifiable deliverables, acceptance criteria, and assigned responsibilities. The deliverable is an execution plan that protects against open-ended scope and facilitates continuous validation.
Governance and controlled change
We define access rules, logs, monitoring routines, and a change management process. The deliverable is a minimum governance package to keep integrations, automations, and AI operating predictably.
By segment
Applications by segment
-
Advocacy
We mapped service flows, deadlines, documents, and document generation, identifying areas for rework and lack of standardization. The roadmap typically prioritizes integration between service, process management, documents, and verification routines, with traceability.
Read more -
Agribusiness
The diagnosis focuses on end-to-end operational and commercial aspects: orders, contracts, logistics, support, and finance. The roadmap prioritizes system integration and standardization of registrations and statuses, reducing decisions made "by gut feeling" due to a lack of reliable data.
Read more -
Health Clinics
We map the patient journey (acquisition, scheduling, confirmation, care, billing) and administrative bottlenecks. The roadmap typically prioritizes integrations of scheduling, care, and finance, as well as triage and assisted response when there is volume.
Read more -
Financial
The diagnosis identifies where the back office loses time on conference calls, reconciliations, and manual status updates. The roadmap prioritizes automation with logs and audit trails, data quality, and clear rules to reduce operational risk.
Read more -
Industry
We mapped maintenance, quality, service requests, and critical indicators, focusing on reducing variation and rework. The roadmap prioritizes the integration of operating systems, standardization of records, and indicators connected to the management routine.
Read more -
Logistics
The diagnosis focuses on tracking, incidents, and service, identifying registration errors and rework. The roadmap prioritizes integration with TMS/ERP, standardization of status updates, and automation of communication and action requests.
Read more -
Services
We mapped the sales funnel, execution, and billing to understand where information is lost and where the team reprocesses. The roadmap tends to prioritize a well-integrated CRM, channel integration, and back-office routines to increase predictability.
Read more -
Public sector
The diagnosis identifies bottlenecks in entry (channels), triage, and referral, as well as inconsistencies in registration. The roadmap prioritizes an entry channel with referral and traceability, a searchable knowledge base, and SLA indicators.
Read more -
Retail
We mapped customer service, orders, exchanges/returns, and store routines to reduce friction and rework. The roadmap prioritizes channel integration with CRM/ERP, standardization of status updates, and operational indicators that support quick decision-making.
Read more
How works
How we work (methodology) Bytebio)
Rapid strategic diagnosis
Objective interviews, process mapping, and systems/data analysis. Typical outputs: bottleneck, risk, and opportunity map; integration and data inventory; quick win hypotheses.
Architecture and incremental planning
We designed the minimum architecture and prioritized backlog (30/60/90), with acceptance criteria and dependencies. This clearly defines what is included, what depends on the client, and what is left out.
Agile implementation and integration
Execution in sprints, with verifiable deliverables. Integrations and automations include logs, alerts, and tests, preventing "it only works in the demo" issues.
Continuous operation and evolution
Routine for monitoring, corrections, and improvements based on backlog. Change governance to evolve without breaking what already works.
How is delivery organized?
Pillars of Action Bytebio
Consulting, AI engineering and integrated operations
Strategy
Firmare
- Diagnosis of operational bottlenecks
- AI-powered solution architecture
- Systems mapping
- Implementation roadmap
- Definition of priorities
- Feasibility analysis
- Governance plan
- AI applied to business
- Operational efficiency
- Cost reduction and rework
- Conversion increase
- Predictability and control
- Integration of consistent data
- Improved margins
AI Engineering
Solutions and Operation
- Integrations between systems
- Business Process Automation (BPM)
- Data Orchestration
- AI applied to customer service
- AI applied to the back office.
- Monitoring and intelligence
- Intelligent flows
- Multichannel integration (WhatsApp, CRM, ERP)
- Conversational AI (WhatsApp)
- Commercial AI (lead qualification)
- Intelligent agents
- Screening and scheduling
- Dashboards and reports
- AI-assisted decisions
Operations
Techniques and Processes
- Conversational AI configuration
- CRM Structuring
- Implementation of automations
- System connection
- Knowledge management
- Infrastructure setup
- Team training
- Operational support
- Project management
- Testing and validation
- Process documentation
- Solution deployment
- Customer onboarding
- Adjustments and refinements
- Continuous monitoring
- Evolutionary maintenance
Three integrated delivery layers: Strategy (consulting and architecture), AI Engineering (solutions and integrations), and Operations (implementation and support). From analysis to continuous execution.
Insights
Insights for your business
We separate the hype from the reality. Here you'll find practical analyses of AI engineering, governance, and intelligent automation, focused on what truly works for decision-makers.
-
applied AIHow to use Claude and Codex in your company without losing governance.
Each productive individual alone does not constitute governance. Consider a three-layered diagram for using Claude and Codex in teams and development, with Notion as the source of truth.
Read the insight -
applied AIJEV in CRM: AI that decides in milliseconds, and what changes in Kommo with Bytebio
Generative AI writes well, but makes slow and expensive decisions. JEV does the opposite: it responds in milliseconds, with probability and confidence. See how it qualifies leads and updates the... Kommo with Bytebio and Harnz.
Read the insight -
Internal applicationsVibe coding in the company: what separates an afternoon app from the system that supports its operation.
AI-generated app works in demo but breaks due to permission, volume, and integration issues. Understand what separates a prototype from a system that can handle operation.
Read the insight
What is your challenge?
A Bytebio We develop tailored Artificial Intelligence solutions to meet your customer service challenges. Talk to our experts and discover how companies in your sector are transforming customer service into a competitive advantage with AI.