We work with your team to understand how your business operates, identify where AI can create measurable value, and build solutions around your real workflows and existing systems.
Seven stages, one direction: from understanding your business to a solution your team runs every day.
We listen first. We map how your business operates: the workflows, the systems, where revenue leaks, and where operational drag slows your team down.
Together we isolate one high-value workflow where AI can produce measurable impact. Every engagement is customised to your company, never a generic rollout.
We map the workflow, the data, the systems involved, your security requirements, and the outcome that would count as success.
We build a tailored live prototype around your actual problem and demonstrate it working, so you evaluate a real solution instead of a slide deck.
Your business and engineering teams review the prototype together with us: architecture, integrations, security, and success criteria, before any production commitment.
We work alongside your team on integrations, deployment, testing, and rollout. Embedded implementation, not a handoff.
After go-live we stay involved: support, fixes, improvements, and new workflows as your team finds the next opportunity.
The website does not sell you software. It starts a conversation, and every step after that is earned.
A private working session on your business. We understand the workflow, where you lose time or revenue, and whether AI can genuinely help.
For qualified engagements we build a live prototype around the workflow we discussed, so you can evaluate the solution on your real problem.
A scoped, paid engagement to integrate with your systems, harden the solution, and deploy it with your team. Priced by workflow complexity, integrations, and security requirements.
Support, fixes, improvements, and new workflows over time. We stay accountable for the solution working in production.
Every engagement includes an embedded AI team that keeps working with yours: daily collaboration during rollout, continuous improvement after go-live.
A shared channel with our engineers, so questions get answered the same day, not through ticket queues.
During deployment we work with your team every day: integrations, testing, and rollout until the solution is live.
A standing review of outcomes, adoption, and what to improve or build next.
We monitor the solution in production and fix issues before they slow your team down.
Continuous tuning of accuracy, speed, and cost as your data and usage grow.
As your team finds the next opportunity, we design and ship it on the same platform.
Business leaders decide where AI should help. Technical teams decide how it ships. We work with both.
Owners, founders, COOs, and operations heads get clarity on where AI can actually help, a practical prototype built around a real workflow, measurable success criteria agreed up front, and a clear path from evaluation to production.
CTOs, CIOs, and engineering teams get real architecture discussions, integration planning against your existing systems, security review before anything ships, and a partner who stays through deployment, testing, and iteration.
The practical questions that come up before the first working session.
It starts with a free, private business review. We sit with your team, understand how your business operates and where time and money leak, and give you an honest view of where AI can help and what a practical solution could look like.
A working demonstration built around the specific workflow we discussed, using representative data and your real process. It is a qualification and demonstration step with a defined scope, so both sides can validate the solution before committing to production.
Discovery is free. Production implementation is priced by the complexity of the workflow, the integrations involved, and your security and deployment requirements. You receive a clear written proposal before any paid work begins.
No. We work directly with business owners and operations leaders, and we collaborate with your IT or engineering teams where they exist. Linkence handles the AI engineering; your team keeps control over decisions, approvals, and data.
Data access, permissions, deployment requirements, and governance are part of solution design from day one. Retrieval is permission-aware, external actions are approval-gated and audit-logged, and your data is never used to train models. Detailed security documentation is available during evaluation.
We stay engaged as your AI engineering partner: monitoring, fixes, improvements, and new workflows as they are identified. The relationship is designed to compound, with each workflow building on the systems already in place.
Want the security details first? Read how we protect your data.
Sit down with our engineers and walk us through how your business operates. We will show you where AI can create measurable efficiency and what we would build for you. Free consultation, no commitment.