AI & Data Consultancy

Technology should
solve business problems.

We design and build practical AI, automation, data, and analytics solutions that help businesses work more efficiently, understand performance, and make better decisions.

Solutions

06 Core Services

Focus

AI · Data · Automation

Engagement

Strategy → Delivery

Codegner Dev solutions across AI, data, automation and analytics

Codegner Dev

Practical technology built around the problems that matter to your business.

How We Think About Technology

Start with the business problem.
Build what actually solves it.

Whether the challenge is manual work, fragmented data, unclear performance, an AI opportunity, or a system that needs to become more intelligent, we begin by understanding what needs to improve and work backward to the right solution.

Our Solutions

From the problem you have
to the system you need.

Each service is built around a specific class of business problem. The engagement can start small, expand as the value becomes clear, and connect to the other capabilities your business needs over time.

AI Automation & Agents

AI Automation & Agents

We design AI-powered workflows and agents that take repetitive work off your team, connect the systems you already use, and make day-to-day operations faster and more consistent.

From $750
Solution
01 / 06
Delivery
Strategy → Build
Scope
Focused & scalable

The problem we help solve

Remove repetitive work and give your team more time to focus on work that actually needs people.

We design AI-powered workflows and agents that automate repetitive tasks, connect the systems your business already uses, and move information through processes with less manual intervention. The focus is practical automation that improves how the business operates — not AI for its own sake.

What clients are usually dealing with

  • Teams spend too much time on repetitive administrative work.
  • Employees copy information between systems that should already be connected.
  • Approvals, follow-ups, routing, and routine decisions depend on manual intervention.
  • Processes work, but scaling them means adding more people to perform the same tasks.
  • The business has identified automation opportunities but is unsure where to start.

What to expect from us

  • Workflow mapping
  • Automation architecture
  • AI agent design
  • System and API integration
  • Testing and deployment
Business workflow automation concept showing connected processes and systems

How we approach it

  1. 01

    Map the current workflow and identify where time, cost, delays, or errors are being introduced.

  2. 02

    Separate straightforward automation from situations where AI can add useful decision-making or interpretation.

  3. 03

    Connect the relevant systems, APIs, business rules, and AI components into one working workflow.

  4. 04

    Test real-world scenarios, exceptions, and failure paths before putting the automation into production.

What changes for the business

Less repetitive manual workFaster business processesFewer avoidable errorsBetter use of team capacityAutomation that can scale with the business

Not sure which solution fits your situation? Start with the business problem. Our Workflow Automation Assessment can help identify the right starting point.

AI Chatbots & RAG Assistants

AI Chatbots & RAG Assistants

We build intelligent assistants that can understand your business knowledge, search trusted information, answer questions, support customers, and help teams get useful answers without digging through disconnected sources.

From $500
Solution
02 / 06
Delivery
Strategy → Build
Scope
Focused & scalable

The problem we help solve

Make your business knowledge easier for customers and teams to find, understand, and use.

We build AI assistants grounded in your business knowledge, documents, systems, and approved information sources. From customer support and internal knowledge search to document intelligence and operational assistants, we turn generative AI into a practical interface for real business information.

What clients are usually dealing with

  • Customers repeatedly ask questions that support teams answer manually.
  • Employees spend too much time searching documents, policies, and internal knowledge.
  • Important business information is scattered across files, systems, and knowledge bases.
  • The business wants to use generative AI but needs answers grounded in trusted information.
  • A chatbot exists as an experiment but is not connected to the actual business workflow.

What to expect from us

  • AI assistant strategy
  • RAG architecture
  • Knowledge integration
  • Document intelligence
  • Business system integration
AI chatbot and retrieval augmented generation assistant interface

How we approach it

  1. 01

    Identify the users, questions, knowledge sources, permissions, and business outcome the assistant must support.

  2. 02

    Design the retrieval and knowledge architecture so responses are based on relevant approved information.

  3. 03

    Build the conversational experience, model orchestration, integrations, and business rules around the use case.

  4. 04

    Validate response quality, retrieval accuracy, access boundaries, fallback behavior, and real user journeys.

What changes for the business

Faster access to business knowledgeMore efficient customer supportLess time spent searching informationBetter reuse of internal knowledgeA practical foundation for broader AI adoption

Not sure which solution fits your situation? Start with the business problem. Our AI Chatbot & RAG Assessment can help identify the right starting point.

Data Engineering & ETL Pipelines

Data Engineering & ETL Pipelines

We build reliable data pipelines that collect, clean, transform, and organize information from your operational systems so your teams can work from data they can actually trust.

From $750
Solution
03 / 06
Delivery
Strategy → Build
Scope
Focused & scalable

The problem we help solve

Connect fragmented business data and build the reliable foundation your reporting, analytics, and AI depend on.

We build data pipelines that extract, transform, validate, and organize information from the systems your business already uses. The objective is to reduce manual data work, improve consistency, and create analytics-ready data that teams can depend on.

What clients are usually dealing with

  • Business data is scattered across spreadsheets, CRMs, ERPs, databases, and SaaS tools.
  • Different teams report different versions of the same metric.
  • Reporting still depends on recurring exports and manual spreadsheet work.
  • Existing pipelines are fragile, difficult to monitor, or increasingly expensive to maintain.
  • The business wants better BI or AI capabilities but the underlying data is not ready.

What to expect from us

  • Data architecture
  • ETL / ELT pipelines
  • Data integration
  • Data transformation
  • Data quality and monitoring
Modern data engineering pipelines connecting multiple business systems

How we approach it

  1. 01

    Map the current data landscape, source systems, business rules, dependencies, and downstream use cases.

  2. 02

    Design the appropriate ingestion, transformation, storage, and orchestration architecture.

  3. 03

    Build pipelines that automate data movement and produce consistent, usable datasets.

  4. 04

    Add validation, monitoring, and operational controls so failures and data-quality issues are easier to detect.

What changes for the business

Less manual data preparationMore consistent business dataReliable automated pipelinesAnalytics-ready datasetsA stronger foundation for BI and AI

Not sure which solution fits your situation? Start with the business problem. Our Data Infrastructure Assessment can help identify the right starting point.

Business Intelligence & Decision Dashboards

Business Intelligence & Decision Dashboards

We turn scattered business data into clear dashboards and reporting systems that show what is happening, where performance is changing, and where action is needed.

From $400
Solution
04 / 06
Delivery
Strategy → Build
Scope
Focused & scalable

The problem we help solve

Turn scattered business data into clear KPIs and dashboards that help teams understand performance and act faster.

We build business intelligence systems around the decisions your leadership and teams need to make. From executive reporting and KPI dashboards to operational monitoring and self-service analysis, we turn trusted data into useful business visibility.

What clients are usually dealing with

  • Leadership relies on multiple reports to understand what is happening.
  • Reporting takes too long because information is manually assembled.
  • Different departments define the same metrics differently.
  • Existing dashboards contain lots of charts but little decision-making value.
  • Operational issues are discovered only after they appear in a periodic report.

What to expect from us

  • KPI definition
  • Executive dashboards
  • Operational reporting
  • Interactive analysis
  • Decision support
Business intelligence dashboard showing KPIs and operational performance

How we approach it

  1. 01

    Start with the business questions and decisions the dashboard needs to support.

  2. 02

    Define the KPIs, business logic, dimensions, targets, and reporting requirements.

  3. 03

    Design dashboards around the people using them rather than around the available chart types.

  4. 04

    Validate the numbers, usability, performance, and reporting logic before rollout.

What changes for the business

Clearer business visibilityFaster management reportingConsistent KPIsLess manual reporting workBetter decision-making

Not sure which solution fits your situation? Start with the business problem. Our Business Intelligence Assessment can help identify the right starting point.

Predictive Analytics & Anomaly Detection

Predictive Analytics & Anomaly Detection

We use historical and operational data to identify patterns, forecast likely outcomes, detect unusual activity, and give teams earlier signals for better decisions.

From $800
Solution
05 / 06
Delivery
Strategy → Build
Scope
Focused & scalable

The problem we help solve

Move from understanding what happened to identifying what is likely to happen next.

We use historical and operational data to identify patterns, forecast outcomes, detect unusual behavior, and create earlier signals for decision-making. The goal is not to produce a complex model for its own sake, but to help the business act earlier and with better information.

What clients are usually dealing with

  • Important business changes are identified only after the fact.
  • Demand, sales, customer, or operational patterns are difficult to anticipate.
  • Teams manually review large volumes of transactions or activity for unusual behavior.
  • The business collects historical data but does not use it to support forward-looking decisions.
  • There is uncertainty about whether a predictive use case is actually feasible.

What to expect from us

  • Use-case assessment
  • Predictive modeling
  • Forecasting
  • Anomaly detection
  • Model evaluation
Predictive analytics visualization showing trends, forecasts, and anomalies

How we approach it

  1. 01

    Define the business outcome first and determine whether the available data can realistically support it.

  2. 02

    Prepare and analyze historical data to identify patterns, relationships, trends, and anomalies.

  3. 03

    Develop and evaluate a model or detection approach appropriate to the business problem.

  4. 04

    Deliver the output in a usable form so teams can monitor, interpret, and act on the resulting signals.

What changes for the business

Earlier signals of changeMore informed forecastsFaster anomaly detectionBetter risk visibilityMore proactive decision-making

Not sure which solution fits your situation? Start with the business problem. Our Predictive Analytics Assessment can help identify the right starting point.

AI/Data Readiness & Architecture Sprint

AI/Data Readiness & Architecture Sprint

We assess where your business stands today, identify the highest-value AI or data opportunities, review your technical foundation, and turn uncertainty into a practical implementation roadmap.

From $350
Solution
06 / 06
Delivery
Strategy → Build
Scope
Focused & scalable

The problem we help solve

Know where you stand, what is worth building, and what needs to change before you invest further.

Many businesses know they should do more with AI or data but are unsure where the strongest opportunity lies or whether their current systems can support it. We assess the current environment, identify practical opportunities, and produce a focused roadmap for moving forward.

What clients are usually dealing with

  • The business wants to adopt AI but has no clear starting point.
  • Leadership has several AI or data ideas but no way to prioritize them.
  • Existing systems and data may not support the desired use cases.
  • Teams are considering technology investments without a clear architecture.
  • There is uncertainty around what should be built internally, integrated, or changed first.

What to expect from us

  • AI readiness assessment
  • Data architecture review
  • Opportunity prioritization
  • Technology roadmap
  • Proof-of-concept guidance
Technology and data architecture planning session for AI readiness

How we approach it

  1. 01

    Understand business goals, current workflows, systems, data sources, constraints, and priority opportunities.

  2. 02

    Assess the technology and data foundation against the use cases the business actually wants to pursue.

  3. 03

    Identify high-value opportunities, technical gaps, risks, dependencies, and realistic next steps.

  4. 04

    Produce a practical roadmap that connects priorities, architecture, implementation stages, and measurable outcomes.

What changes for the business

Clearer AI and data prioritiesReduced technical uncertaintyA practical implementation roadmapBetter technology investment decisionsA stronger foundation for future projects

Not sure which solution fits your situation? Start with the business problem. Our AI & Data Readiness Assessment can help identify the right starting point.

Start With The Problem

Have a business problem
worth solving?

Whether you need to automate a workflow, build an AI assistant, fix your data, improve reporting, predict what comes next, or define the right technology direction, we can help you identify the right starting point and turn it into a practical solution.