01 / INTELLIGENT SYSTEMS
AI Integrations
AI capabilities integrated directly into the products, workflows and systems your organisation already uses — with the right context, controls and connections around them.
KEYNEX / INTELLIGENT SYSTEMS01AI INTEGRATIONS
INTELLIGENCE WHERE IT IS NEEDED
AI integrations built into
the systems people
already use.
We integrate AI into existing applications, platforms, workflows and internal systems instead of treating it as a separate destination. Models, business context, data, actions and safeguards are connected around the task the intelligence needs to support.
THE RIGHT INTELLIGENCE
THE RIGHT CONTEXT
CONTROL VISIBLE
INTELLIGENCECONTEXTINTEGRATION
INFRASTRUCTURE WITHOUT THE NOISEAn AI integration Made
By Keynex
Models, prompts, business information, system connections, permissions and integration-specific controls can be brought together around the use case they need to support. As models, data and surrounding systems change, the integration can evolve without rebuilding the entire product around it.
OUR APPROACH
Built around
the use case.
A useful AI integration starts with the job it needs to support. We identify which intelligence is appropriate, what context it requires, which systems it can use and where human control still matters. The integration is then built around that responsibility rather than around AI for its own sake.
MODELS / CAPABILITY
INTELLIGENCE01PURPOSE
Use the Right
Intelligence
Different tasks need different capabilities. Models and AI services are selected around the work they need to perform, rather than forcing every use case through the same technical approach.
DATA / CONTEXT
CONTEXT02RELEVANCE
Give AI the Context
It Needs
Useful responses depend on relevant information. Product data, documents, account details, workflow state and other business context can be supplied deliberately so intelligence operates with information connected to the task.
APIS / SYSTEMS
CONNECTIONS03ACTIONS
Connect Intelligence
to Real Systems
AI can work with existing applications, APIs and services where the use case requires more than generating text. Connections can allow information to be retrieved, actions prepared and workflows supported inside the systems already used.
CONTROL / RELIABILITY
BOUNDARIES04OVERSIGHT
Keep the Integration
Controlled
Permissions, validation, fallbacks, review steps and logging can define what the integration is allowed to do. Intelligence can add capability without removing the boundaries the surrounding product still needs.
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KEYNEX / INTELLIGENT SYSTEMS02INTELLIGENT SYSTEMS
BUILT TO UNDERSTAND AND RESPOND
Intelligent systems built
around how decisions
actually happen.
We build systems that bring information, logic and intelligence together around a real operational problem. They can interpret context, apply rules, surface recommendations and coordinate actions while keeping important decisions understandable and controlled.
THE CONTEXT
BETTER DECISIONS
WITH CONTROL
CONTEXTDECISIONSSYSTEMS
A CLEAR VIEW OF WHAT MATTERSAn intelligent system Made
By Keynex
Information, rules, models, workflows, interfaces and connected services can operate as one system built around a specific responsibility. As conditions, data and operational requirements change, the system can evolve while keeping its decisions, boundaries and behaviour understandable.
OUR APPROACH
Built around
the decision.
We start with the decisions the system needs to support and the information required to make them. Signals, rules, intelligence, actions and human responsibility are then structured around that process so the system can respond usefully without becoming an unexplained black box.
SIGNALS / INFORMATION
CONTEXT01INPUT
Understand What
Is Happening
Data, events and operational state can be brought together to describe the situation the system needs to understand. The goal is not simply to collect information, but to establish the context required for the next decision.
RULES / INTELLIGENCE
REASONING02LOGIC
Combine Rules With
Intelligence
Deterministic rules and intelligent interpretation can each be used where they make sense. Known constraints remain explicit while intelligence can support the parts of the problem that depend on context, language or less rigid inputs.
DECISIONS / ACTIONS
RESPONSE03OUTCOME
Turn Understanding
Into Action
Recommendations, notifications, workflow changes or connected system actions can follow from what the system understands. Each response can be designed around the level of autonomy appropriate to the use case.
FEEDBACK / CHANGE
LEARNING04EVOLUTION
Improve as the
System Evolves
Outcomes, corrections and changing requirements can inform future improvements. Rules, context, models and workflows can be refined over time without replacing the entire system whenever the surrounding operation changes.
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KEYNEX / INTELLIGENT SYSTEMS03AUTOMATION
DESIGNED AROUND THE WORK
Automation built around
the work that
repeats.
We automate recurring processes across people and systems. Requests, approvals, data movement, notifications, document handling and routine actions can be coordinated through workflows designed around how the organisation already operates.
REPETITIVE WORK
THE HANDOVERS
PEOPLE IN CONTROL
WORKFLOWLOGICORCHESTRATION
CONNECTION WITHOUT THE FRICTIONAutomation Made
By Keynex
Triggers, conditions, approvals, notifications, integrations and automated actions can be brought together around the workflow they support. As responsibilities and systems change, the automation can evolve with the operation instead of becoming another rigid process people have to work around.
OUR APPROACH
Built around
your workflows.
Good automation begins by understanding the process before trying to remove manual steps. We identify what starts the work, which decisions occur, where information moves and where people still need control. Automation is then applied where it removes effort without removing necessary judgement.
PROCESS / TRIGGERS
WORKFLOW01START
Start With the
Real Process
Every automation begins with something that actually happens: a request, change, deadline, status or incoming piece of data. The workflow is built around the real starting point instead of an artificial process created only for the automation.
RULES / CONDITIONS
LOGIC02DECISIONS
Rules Decide What
Happens Next
Conditions, approvals and business rules can determine which path the workflow follows. Predictable decisions stay explicit so the organisation can understand why an action happened and change the logic when requirements evolve.
SYSTEMS / ACTIONS
ORCHESTRATION03CONNECTIONS
Move Work Across
Systems
Applications, APIs, databases and services can participate in one workflow. Information can move automatically between the systems responsible for each part instead of relying on repeated copying and manual handovers.
STATUS / OVERSIGHT
CONTROL04VISIBILITY
Keep People
in Control
Automation does not have to make every decision. Status, review steps, exceptions and manual intervention can remain visible so people can understand what the workflow is doing and take over when the situation requires it.
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KEYNEX / INTELLIGENT SYSTEMS04BOTS
BUILT FOR A SPECIFIC JOB
Bots built around
the conversations and
tasks they handle.
We build bots around a defined responsibility rather than a generic chat interface. They can answer questions, collect information, guide users, trigger workflows and interact with connected systems while staying within clear boundaries.
WITH CONTEXT
REAL TASKS
WITHIN BOUNDARIES
CONVERSATIONACTIONSCONTROL
SECURITY BY DESIGNA bot Made
By Keynex
Conversation logic, knowledge, connected tools, permissions, escalation and bot-specific controls can be shaped around the responsibility the bot needs to perform. As information and workflows change, its behaviour can evolve without turning the experience into an uncontrolled general-purpose assistant.
OUR APPROACH
Built around
the responsibility.
We define what the bot is responsible for, what information it can use, which actions it may perform and when a person or another workflow needs to take over. That responsibility becomes the boundary around the conversation rather than adding capabilities without a clear operational purpose.
INTENT / CONTEXT
UNDERSTANDING01INPUT
Understand What the
User Needs
A useful bot needs to understand more than isolated words. Conversation history, user context and the purpose of the bot can help interpret what someone is trying to achieve before deciding what should happen next.
KNOWLEDGE / RESPONSES
INFORMATION02ANSWERS
Answer From the
Right Information
Approved content, product information, documentation and organisation-specific knowledge can support responses. The bot can be designed around defined information sources rather than inventing a separate source of truth.
TOOLS / ACTIONS
SYSTEMS03EXECUTION
Do More Than
Just Respond
Where appropriate, a bot can collect structured information, create requests, check statuses, call connected services or start workflows. Conversation becomes an interface to useful system functionality rather than an isolated chat window.
RULES / ESCALATION
BOUNDARIES04CONTROL
Know When
Not to Act
Some requests require escalation, confirmation or human responsibility. Boundaries can define what the bot may handle, when it should ask for clarification and when control should move elsewhere.
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KEYNEX / INTELLIGENT SYSTEMS05BOT PLATFORMS
BUILT FOR MORE THAN ONE BOT
Bot platforms built to
manage intelligence
as a system.
We build platforms for organisations that need multiple bots, assistants or conversational workflows. Shared data, integrations, configuration, access, monitoring and deployment can be managed from one environment while each bot keeps its own purpose and behaviour.
MULTIPLE BOTS
CORE CAPABILITIES
THE WHOLE SYSTEM
BOTSPLATFORMGOVERNANCE
SECURITY BY DESIGNA bot platform Made
By Keynex
Bot configuration, shared knowledge, integrations, channels, permissions, deployment and operational controls can be brought together within one environment. New bots and capabilities can be added around a shared foundation without rebuilding every assistant independently.
OUR APPROACH
Built around
the ecosystem.
A bot platform starts with understanding what should be shared and what should remain specific to each bot. Common services, knowledge and governance form the foundation while individual responsibilities, channels and behaviour stay separately configurable where they need to.
BOTS / CONFIGURATION
MANAGEMENT01STRUCTURE
Give Every Bot
Its Own Role
Each bot can have its own purpose, instructions, permissions, tools and behaviour while remaining part of the same platform. Teams can manage separate responsibilities without turning every bot into an entirely separate technical project.
KNOWLEDGE / SERVICES
SHARED02FOUNDATION
Share What Should
Be Shared
Common knowledge, integrations, authentication and platform services can be reused where multiple bots need them. Shared foundations reduce duplication while bot-specific configuration stays independent.
CHANNELS / INTEGRATIONS
CONNECTIONS03DELIVERY
Deploy Across Different
Environments
Bots can be connected to websites, applications, internal products or other supported channels through the platform. The underlying capabilities can stay consistent while each experience is shaped around where the bot is being used.
ACCESS / OVERSIGHT
GOVERNANCE04CONTROL
Manage the System
From One Place
Permissions, configuration, activity and operational controls can be managed centrally. Organisations gain one place to understand how bots are configured and who is responsible for changing the capabilities they depend on.
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