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    SELF-IMPROVING AI COWORKERS

    Your next hire already knows how your company works.

    Linkence 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.

    • A model for each team
    • Data never leaves your VPC
    • Knows how the team operates
    Backed byEntrepreneurs First

    Linkence integrations

    WHY AI COWORKERS

    Your employees lose hours every day to repetitive digital work.

    Up to 70% of employee time is spent on repetitive tasks that can be automated, from training and reporting to coordination and routine follow-ups.

    AN AI COWORKER GIVES LEADERS
    • Blockers and overdue commitments from connected systems
    • What changed since the last update
    • Decisions that need an owner
    • Conflicting information flagged before it spreads
    • Recommended next steps ready for approval
    • A source link for every important claim
    See how AI coworkers work
    Jira12Slack8Gmail3GitHub2Drive2
    MON 08:30 · COMPANY ACTIVITY · PRIORITIES READY

    Security review is blocking the payment migration OPS-184 · Owner: Nisha

    Client sign-off on the timeline is 2 days overdue Client thread · Owner: Maya

    Tokenisation exception needs a leadership decision #atlas-delivery · Raised today

    Migration window approved for 18 to 22 August Changed since last review

    WORK MOVINGNext steps ready

    Blockers surfaced
    Decisions routed
    Follow-ups ready
    NOT A GENERIC MODEL

    Each coworker, on each dedicated team, gets a customized model.

    Trained to your use case and how that team works, then self-improving from day one. Data never leaves your VPC.

    >20×

    faster response on the recurring job than a general-purpose model that has to re-learn the playbook on every run.

    70%

    reduction in token cost and usage. High ROI on each token spent, because the team model already carries the skill.

    Per coworker

    Each coworker on each dedicated team gets a customized model, trained to your use case and how they work.

    Human owner AI co-worker

    Click any AI co-worker to inspect its role

    CEO
    CPO
    CTO
    COO
    People Operations Lead
    Employee Experience Lead
    Director of Workplace Systems
    Delivery Operations Lead
    Revenue Operations Lead
    Finance Operations Lead
    Enterprise Security Lead
    Identity Architect

    Swipe to explore the full workforce map →

    FROM REPETITIVE WORK TO COMPLETED WORK

    Don't spend hours turning scattered information into a finished outcome.

    AI Coworkers that own job roles, not just tasks

    See how AI coworkers work
    01 · HIRE A COWORKER

    Describe the job in plain language. That is the setup.

    Design 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.

    • Plain-language responsibility, no flowcharts to build
    • Connects to Jira, Slack, Sentry, Gmail, GitHub and more
    • Guardrails and escalation to a human, built into the job
    02 · RUN THE WORK

    It starts the work. You review what it did.

    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.

    03 · SELF-IMPROVING

    The longer it works, the better it works.

    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.

    • Better outcomes every week, from real work
    • Every improvement is visible and under your control
    • Nothing changes without your approval

    WEEK 2: Writes updates in your team's voice

    Continue in
    Slack
    Discord
    Desktop
    Widget
    Web application
    MEASURED CUSTOMER OUTCOMES

    What changes after Linkence.

    Lead with the business result: time returned, work delivered faster and operating capacity recovered.

    01

    12hrs

    saved per employee each week

    Less time spent finding context and rebuilding work.

    02

    84%

    less time spent searching

    Answers arrive across the systems teams already use.

    03

    70%

    faster operating reviews

    Evidence and exceptions are assembled before the meeting.

    04

    56%

    fewer repeated internal requests

    Routine questions are resolved without another hand-off.

    05

    $1.5M

    projected annual productivity value

    Illustrative 50-person team at $50 per hour.

    06

    8×

    projected return on investment

    Illustrative against a $187,500 annual programme cost.

    EVIDENCE AT EVERY STEP

    The knowledge backbone for governed work.

    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.

    CUSTOMER STORIES

    Built around the way real teams operate.

    See how teams use Linkence inside the systems they already trust, with the operating process and control boundary made explicit.

    01EkayanConsultancy · Client operations

    Grounded client replies, with judgment preserved.

    Client email replies are prepared from Ekayan’s own knowledge. Sensitive or ambiguous messages return to a person before anything is sent.

    Read the story
    02MICROSIGNManufacturing · Microsoft 365

    One operating layer across the Microsoft workspace.

    Outlook, Teams, OneDrive and SharePoint work together to organise day-to-day schedules, retrieve the right context and keep recurring work moving.

    Read the story
    01

    Linkence from

    Use Linkence from Slack, Discord, Chrome, desktop, widget or MCP.

    Explore Linkence Everywhere Bots · desktop · widget · MCP
    02

    A model for each team

    Train a dedicated model on how that team operates, or bring approved providers and customer-managed keys. Isolated per tenant, including VPC for enterprise engagements.

    Explore model providers Team models · tenant VPC · 15 inference providers
    03
    { API }

    Custom systems

    Connect internal ERPs, CRMs, SQL sources and applications after technical review.

    REST · SQL · custom adapters
    AI COWORKER QUESTIONS

    Direct answers before the first conversation.

    Start with one team and one recurring job. Bring the owner of that work to the working session.

    What is an AI coworker?+

    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.

    Where should we start?+

    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.

    What systems can a coworker use?+

    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.

    How does a coworker improve over time?+

    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.

    What happens in the working session?+

    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.

    Are customized models available for each engineering team, without data leakage?+

    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.

    AN OUTCOME, NOT A DISCOVERY CALL

    Give us one team. See the coworker Linkence hires.

    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.