struggle with too much time spent searching for information
Microsoft Work Trend IndexLinkence builds self-improving AI coworkers for every team. Each one learns how your team works and gets better every single week on the job. Less manual workload. More time for customers, decisions and growth.
Trained to your use case and how that team works, then self-improving from day one. Data never leaves your VPC.
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AI Coworkers that own job roles, not just tasks
See how AI coworkers workDesign and deploy AI Coworkers that handle work end-to-end, from IT operations to enterprise support. Each AI Coworker comes with its own role, skills, and access controls. Acts just like a team member.
The coworker picks up the job on its own. Each tool lands on a timeline you can audit, with a tick when it succeeds. Open thinking to see why it acted, or open a step to see the exact call.
A Linkence coworker improves itself with every task it completes. It sharpens how it writes, decides and acts for your team, while generic AI tools stay exactly the same. No retraining, no prompt tuning, no rebuilding.
WEEK 2: Writes updates in your team's voice
Lead with the business result: time returned, work delivered faster and operating capacity recovered.
12hrs
Less time spent finding context and rebuilding work.
84%
Answers arrive across the systems teams already use.
70%
Evidence and exceptions are assembled before the meeting.
56%
Routine questions are resolved without another hand-off.
$1.5M
Illustrative 50-person team at $50 per hour.
8×
Illustrative against a $187,500 annual programme cost.
Every answer stays connected to its sources, controls and public proof.
1100+ ready integrations. Each colour family represents a connected source class: communication, documents, delivery, code and internal systems.
See how teams use Linkence inside the systems they already trust, with the operating process and control boundary made explicit.
Client email replies are prepared from Ekayan’s own knowledge. Sensitive or ambiguous messages return to a person before anything is sent.
Outlook, Teams, OneDrive and SharePoint work together to organise day-to-day schedules, retrieve the right context and keep recurring work moving.
Start with one team and one recurring job. Bring the owner of that work to the working session.
A Linkence AI coworker is a digital employee for one recurring job. You give it a name, a role and a written responsibility, connect the apps it may use, and set the guardrails and who it should escalate to. It then runs the work and returns an outcome you can review.
Give us one team and one responsibility that team already repeats: incident triage, pipeline hygiene, weekly reporting or first-pass support. We hire the coworker against that job, not against a generic demo.
Each coworker connects only to the apps you turn on for that job, such as Jira, Slack, Sentry, Gmail and GitHub. It works inside the permissions of its owner and cannot open information that person cannot access.
Every Linkence coworker is self-improving. It learns from the outcome of every task and from how your team responds to its work, then applies those improvements to future runs. Improvements are described in plain language your team can review, and nothing changes how the coworker works without your approval.
We take one team's recurring work, write the responsibility in plain language, connect the apps it needs and run the coworker once so you can see the outcome, the timeline and where a human still steps in. Production access is not required for the first session.
Yes. Each coworker on each dedicated team gets a customized model, trained to that team's use case and how they work. Payments does not train Platform. Platform does not train Support. Training and inference stay inside the tenant boundary, including customer VPC where the engagement requires it. Specialized team models respond more than 20× faster, with a 70% reduction in token cost and usage, so each token spent has a higher return.
Bring one recurring responsibility from one team. We will set up an AI coworker with a name, a role, the apps it may use and the lines it must not cross, then run it so you can review the work.