Services
Enterprise AI, deployed inside your stack.
01
Enable MCP for your business
Most AI initiatives stall because agents can't actually see what's happening in the business. We connect your enterprise systems, data, tools, and workflows through MCP, giving AI agents secure, structured access to the business context they need to understand, reason, and take action, not a summary of your data, direct access to it, governed the same way your own team's access is governed.
What this includes:
Audit of existing systems and data sources to map what agents need access to
MCP server implementation connecting your CRM, ERP, ticketing, and internal tools
Role-based access controls matching your existing permission structure
Ongoing monitoring of what agents query and act on, with a full audit trail
02
Bring AI to Legacy Systems
Decades-old ERPs, mainframes, and internal tools aren't going anywhere, and they don't need to. We wrap an AI layer around the systems you already depend on, so agents can read from and write to them directly. Modernization happens around your data, not despite it, with no rip-and-replace migration, no multi-year re-platforming project, and no disruption to the workflows currently running on that infrastructure.
What this includes:
Integration layer built for your specific legacy stack, not a generic connector
Two-way data flow: agents read current state and write approved actions back
Compatibility testing against existing batch jobs, reports, and downstream systems
A migration path, if and when you want one, that's never a prerequisite
02
Bring AI to Legacy Systems
Decades-old ERPs, mainframes, and internal tools aren't going anywhere, and they don't need to. We wrap an AI layer around the systems you already depend on, so agents can read from and write to them directly. Modernization happens around your data, not despite it, with no rip-and-replace migration, no multi-year re-platforming project, and no disruption to the workflows currently running on that infrastructure.
What this includes:
Integration layer built for your specific legacy stack, not a generic connector
Two-way data flow: agents read current state and write approved actions back
Compatibility testing against existing batch jobs, reports, and downstream systems
A migration path, if and when you want one, that's never a prerequisite
02
Bring AI to Legacy Systems
Decades-old ERPs, mainframes, and internal tools aren't going anywhere, and they don't need to. We wrap an AI layer around the systems you already depend on, so agents can read from and write to them directly. Modernization happens around your data, not despite it, with no rip-and-replace migration, no multi-year re-platforming project, and no disruption to the workflows currently running on that infrastructure.
What this includes:
Integration layer built for your specific legacy stack, not a generic connector
Two-way data flow: agents read current state and write approved actions back
Compatibility testing against existing batch jobs, reports, and downstream systems
A migration path, if and when you want one, that's never a prerequisite
03
Build an Enterprise LLM
Generic models answer from public training data. We fine-tune and deploy a model grounded in your own documents, policies, past decisions, and domain language, so answers reflect how your organization actually operates. That means fewer hallucinations on internal questions, terminology your teams actually use, and outputs that respect the access controls and audit trail enterprise deployment requires, from day one, not bolted on after launch.
What this includes:
Fine-tuning or retrieval-grounding against your proprietary content
Evaluation against your own accuracy and safety benchmarks, not generic ones
Deployment with logging, access controls, and version management
Ongoing retraining as your documents, policies, and data evolve
02
Bring AI to Legacy Systems
Decades-old ERPs, mainframes, and internal tools aren't going anywhere, and they don't need to. We wrap an AI layer around the systems you already depend on, so agents can read from and write to them directly. Modernization happens around your data, not despite it, with no rip-and-replace migration, no multi-year re-platforming project, and no disruption to the workflows currently running on that infrastructure.
What this includes:
Integration layer built for your specific legacy stack, not a generic connector
Two-way data flow: agents read current state and write approved actions back
Compatibility testing against existing batch jobs, reports, and downstream systems
A migration path, if and when you want one, that's never a prerequisite
04
Agentic AI in Workflows
We embed agents directly into the approval chains, ticketing systems, and daily processes your teams already run, handling the repeatable, judgment-heavy steps end to end. Your team stays in control of every decision that needs a human; the agent handles everything leading up to that decision. This isn't a separate tool your team has to learn, it's a capability added to the tools they already use.
What this includes:
Process mapping to identify where agents deliver the most impact first
Agent deployment inside existing tools (ticketing, CRM, internal dashboards)
Configurable human-approval gates at whatever points you require them
Performance monitoring with the ability to adjust scope as trust builds
02
Bring AI to Legacy Systems
Decades-old ERPs, mainframes, and internal tools aren't going anywhere, and they don't need to. We wrap an AI layer around the systems you already depend on, so agents can read from and write to them directly. Modernization happens around your data, not despite it, with no rip-and-replace migration, no multi-year re-platforming project, and no disruption to the workflows currently running on that infrastructure.
What this includes:
Integration layer built for your specific legacy stack, not a generic connector
Two-way data flow: agents read current state and write approved actions back
Compatibility testing against existing batch jobs, reports, and downstream systems
A migration path, if and when you want one, that's never a prerequisite
Partnerships
Key Partners
Our partnerships across AI, cloud, content platforms, and monetisation strengthen our ability to build secure, scalable solutions and deliver measurable value for enterprises.
Google Certified Publishing Partner
Monetisation & Ecosystem
Anthropic Implementation Partner*
AI Partners
AWS Partner Network
Cloud Partner
Google Cloud Partner
Cloud Partner
Wordpress Silver Agency Partner
CMS Partner
Let's Work Together
(FDE — 07)
©2026
Let's Connect
Let's Connect
Bring one workflow you believe AI should have transformed by now. We'll tell you what it takes to ship it and if we're not the right team for it, we'll say that too.
Services
Enterprise AI, deployed inside your stack.
02
Bring AI to Legacy Systems
Decades-old ERPs, mainframes, and internal tools aren't going anywhere, and they don't need to. We wrap an AI layer around the systems you already depend on, so agents can read from and write to them directly. Modernization happens around your data, not despite it, with no rip-and-replace migration, no multi-year re-platforming project, and no disruption to the workflows currently running on that infrastructure.
What this includes:
Integration layer built for your specific legacy stack, not a generic connector
Two-way data flow: agents read current state and write approved actions back
Compatibility testing against existing batch jobs, reports, and downstream systems
A migration path, if and when you want one, that's never a prerequisite
02
Bring AI to Legacy Systems
Decades-old ERPs, mainframes, and internal tools aren't going anywhere, and they don't need to. We wrap an AI layer around the systems you already depend on, so agents can read from and write to them directly. Modernization happens around your data, not despite it, with no rip-and-replace migration, no multi-year re-platforming project, and no disruption to the workflows currently running on that infrastructure.
What this includes:
Integration layer built for your specific legacy stack, not a generic connector
Two-way data flow: agents read current state and write approved actions back
Compatibility testing against existing batch jobs, reports, and downstream systems
A migration path, if and when you want one, that's never a prerequisite
02
Bring AI to Legacy Systems
Decades-old ERPs, mainframes, and internal tools aren't going anywhere, and they don't need to. We wrap an AI layer around the systems you already depend on, so agents can read from and write to them directly. Modernization happens around your data, not despite it, with no rip-and-replace migration, no multi-year re-platforming project, and no disruption to the workflows currently running on that infrastructure.
What this includes:
Integration layer built for your specific legacy stack, not a generic connector
Two-way data flow: agents read current state and write approved actions back
Compatibility testing against existing batch jobs, reports, and downstream systems
A migration path, if and when you want one, that's never a prerequisite
02
Bring AI to Legacy Systems
Decades-old ERPs, mainframes, and internal tools aren't going anywhere, and they don't need to. We wrap an AI layer around the systems you already depend on, so agents can read from and write to them directly. Modernization happens around your data, not despite it, with no rip-and-replace migration, no multi-year re-platforming project, and no disruption to the workflows currently running on that infrastructure.
What this includes:
Integration layer built for your specific legacy stack, not a generic connector
Two-way data flow: agents read current state and write approved actions back
Compatibility testing against existing batch jobs, reports, and downstream systems
A migration path, if and when you want one, that's never a prerequisite
Partnerships
Key Partners
Our partnerships across AI, cloud, content platforms, and monetisation strengthen our ability to build secure, scalable solutions and deliver measurable value for enterprises.
Google Certified Publishing Partner
Monetisation & Ecosystem
Anthropic Implementation Partner*
AI Partners
AWS Partner Network
Cloud Partner
Google Cloud Partner
Cloud Partner
Wordpress Silver Agency Partner
CMS Partner
Let's Work Together
(FDE — 07)
©2026
Let's Connect
Bring one workflow you believe AI should have transformed by now. We'll tell you what it takes to ship it and if we're not the right team for it, we'll say that too.
Services
Enterprise AI, deployed
02
Bring AI to Legacy Systems
Decades-old ERPs, mainframes, and internal tools aren't going anywhere, and they don't need to. We wrap an AI layer around the systems you already depend on, so agents can read from and write to them directly. Modernization happens around your data, not despite it, with no rip-and-replace migration, no multi-year re-platforming project, and no disruption to the workflows currently running on that infrastructure.
What this includes:
Integration layer built for your specific legacy stack, not a generic connector
Two-way data flow: agents read current state and write approved actions back
Compatibility testing against existing batch jobs, reports, and downstream systems
A migration path, if and when you want one, that's never a prerequisite
02
Bring AI to Legacy Systems
Decades-old ERPs, mainframes, and internal tools aren't going anywhere, and they don't need to. We wrap an AI layer around the systems you already depend on, so agents can read from and write to them directly. Modernization happens around your data, not despite it, with no rip-and-replace migration, no multi-year re-platforming project, and no disruption to the workflows currently running on that infrastructure.
What this includes:
Integration layer built for your specific legacy stack, not a generic connector
Two-way data flow: agents read current state and write approved actions back
Compatibility testing against existing batch jobs, reports, and downstream systems
A migration path, if and when you want one, that's never a prerequisite
02
Bring AI to Legacy Systems
Decades-old ERPs, mainframes, and internal tools aren't going anywhere, and they don't need to. We wrap an AI layer around the systems you already depend on, so agents can read from and write to them directly. Modernization happens around your data, not despite it, with no rip-and-replace migration, no multi-year re-platforming project, and no disruption to the workflows currently running on that infrastructure.
What this includes:
Integration layer built for your specific legacy stack, not a generic connector
Two-way data flow: agents read current state and write approved actions back
Compatibility testing against existing batch jobs, reports, and downstream systems
A migration path, if and when you want one, that's never a prerequisite
02
Bring AI to Legacy Systems
Decades-old ERPs, mainframes, and internal tools aren't going anywhere, and they don't need to. We wrap an AI layer around the systems you already depend on, so agents can read from and write to them directly. Modernization happens around your data, not despite it, with no rip-and-replace migration, no multi-year re-platforming project, and no disruption to the workflows currently running on that infrastructure.
What this includes:
Integration layer built for your specific legacy stack, not a generic connector
Two-way data flow: agents read current state and write approved actions back
Compatibility testing against existing batch jobs, reports, and downstream systems
A migration path, if and when you want one, that's never a prerequisite
Partnerships
Key Partners
Our partnerships across AI, cloud, content platforms, and monetisation strengthen our ability to build secure, scalable solutions and deliver measurable value for enterprises.
Google Certified Publishing Partner
Monetisation & Ecosystem
Anthropic Implementation Partner*
AI Partners
AWS Partner Network
Cloud Partner
Google Cloud Partner
Cloud Partner
Wordpress Silver Agency Partner
CMS Partner
Let's Work Together
©2026
Let's Connect
Bring one workflow you believe AI should have transformed by now. We'll tell you what it takes to ship it and if we're not the right team for it, we'll say that too.