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Capabilities Enterprise AI Applications

Expert Workspace

An expert workspace brings together the documents, business records, and tools a specialist needs to review a case and act on it. Agents gather the information, check it against your rules, and prepare assessments, reports, or responses—with sources attached. Specialists review, refine, and approve the work.


Provectus builds the workspace around your team's process, connecting existing systems and turning your methods into repeatable agent workflows. Your data, tools, and agents in one place to get work done.


The shift

Stop rebuilding the context every time work begins.

Your data lives across applications, documents, messages, and reports. Your methods live in policies and in experienced people. We connect both to the work itself.

Today

The person connects the pieces.

Find the data. Remember the method. Rebuild the analysis. Move the result to another system. Repeat for the next task.

Reimagined

The process carries the context.

Connected sources, callable tools, and reusable skills let agents prepare the work. People use the evidence, refine the result, and act in place.

The workspace

The interface follows the work.

A queue, an active working area, and persistent context are one way to present this process. Pick a desk to see it for that role. Ask one of the three questions and watch the screen change.

A digital-banking fraud analyst reviews a risky login and linked payment before requesting verification through a trusted channel.

All company names, people, records, and scenarios in this demo are fictional. Any resemblance to real entities or events is coincidental. Data is synthetic and all actions are simulated.

  • Left · the queue

    What this role owns today, in the order the work should happen, with the agent's read on each item before it is opened.

  • Center · the work

    The case and its timeline: what arrived, what each agent did, what a person decided. A question is answered from the systems of record, with the sources shown.

  • Right · the context

    The evidence and metrics the specialist needs in view, with source references. An answer worth keeping becomes a card here.

The process

From scattered sources to work grounded in data.

Five layers make up a connected process: the sources and the tools that reach them, the skills, the workflows, the checks, and the workspace where the specialist decides. Each one ends up owned by your team.

  1. 01

    Sources are connected through tools.

    The records, knowledge, and signals the role needs are reachable through APIs and MCP, with scoped permissions and tool-call logging. The systems stay where they are.

    • Business applications
    • Databases
    • Documents
    • Email and messages
    • Analytics
    • Approved external data
    • Search and retrieve
    • Query and calculate
    • Read and update
    • Trigger workflows
    • Scoped access
    • Call log
  2. 02

    Expertise is encoded as skills.

    Skills tell the agent how the work is done here: the method, the rules, the checks. The agent gathers, structures, analyzes, verifies, and prepares across the sources, the way the specialists would.

    • Domain methods
    • Business rules
    • Checks
    • Templates
    • Examples
    • Approval gates
  3. 03

    Routine work runs as workflows.

    Recurring work runs without a prompt. A new submission, an email, or a schedule starts the chain: intake, parsing, checks, routing, follow-up. Exceptions and approvals stop at a person.

    • New submission
    • Incoming email
    • Schedule
    • Intake and triage
    • Document parsing
    • Workflow checks
    • Approval routing
    • Follow-ups and reminders
    • Escalation to a person
    • Write-back
  4. 04

    Check the evidence. Control the actions.

    Results include source references, calculation definitions, and freshness information where available. Agreed checks flag discrepancies and missing evidence for review. Facts, derived values, and estimates are distinguished. Actions use scoped permissions and required approvals, with failed or unconfirmed writes surfaced for follow-up. Skills are versioned and reviewed before use.

    • Cited findings
    • Checked metrics
    • Comparisons
    • Prepared artifacts
    • Open questions
    • Provenance
    • Validated inputs
    • Scoped actions
    • Approval before execution
    • Confirmed writes
    • Versioned skills
  5. 05

    The work happens in one workspace.

    The queue, the case, and the context in one screen, built for the role. Permitted actions flow back to the systems through the same tools.

    • Understand
    • Explore
    • Create
    • Decide
    • Act
    • Write back

The work

What agents do for your team.

From incoming documents to a prepared response, we build the steps your process needs. Each step produces an output your team can review and use.

01 · Intake

Triage and structure.

Classify email, group related messages, parse attachments, and normalize fields. Flag duplicates, omissions, and conflicting values.

Output

A structured case linked to its source material.

02 · Context

Gather the evidence.

Join case records and reconstruct the timeline. Retrieve relevant passages from approved documents, with versions and source references.

Output

A case history and cited evidence, with gaps visible.

03 · Analysis

Prepare the numbers.

Run approved queries and calculations. Assemble comparisons and operational indicators, showing formulas, units, and data freshness.

Output

Metrics the specialist can inspect and trace.

04 · Review

Check and reconcile.

Compare results with sources and business rules. Highlight unusual movements, changed terms, and unresolved exceptions.

Output

A review record showing checks and discrepancies.

05 · Preparation

Assemble the working artifact.

Prepare the assessment, comparison, report, or handoff packet from checked outputs. Keep assumptions and proposed actions explicit.

Output

A prepared decision packet or an editable deliverable.

06 · Execution

Carry the decision through.

Execute permitted actions after the required approvals. Confirm system updates and surface failed or incomplete actions.

Output

A recorded outcome and a path to recovery.

The business case

More time for expert work.

We measure handling time, cases per expert, rework, and cost per completed case against your current process.

  1. 01

    Less preparation, fewer handoffs.

    Agents gather documents, assemble context, and run routine checks so specialists can spend less time collecting information and more time resolving cases.

  2. 02

    Decisions supported by evidence.

    Source references and agreed checks help specialists inspect findings, spot gaps, and resolve exceptions before taking action.

  3. 03

    Expertise the team can reuse.

    Your methods, checks, and templates become versioned skills that support consistent work and help new team members learn the process.

  4. 04

    Build on your existing systems.

    The workspace connects to your systems of record through agreed integrations. Changes to existing screens or platforms are separate decisions, informed by pilot results.

The path

We start with the work and prove the new process.

The same five steps we run for a system rebuild, on a process instead of a codebase. This is the path of the Legacy Modernization program.

  1. 01

    Understand

    We map the real work, the decisions, the exceptions, and the systems, and establish the baseline with the specialists who do the work.

    You get Process map and baseline

  2. 02

    Decide

    With you, we choose one workflow and its data sources, and agree on outcomes, responsibilities, access, and acceptance criteria.

    You get Approved pilot brief

  3. 03

    Redesign

    We reimagine the steps and the handoffs, and define the skills, the agent work, the evidence, and the metrics the role needs.

    You get Workflow specification

  4. 04

    Rebuild

    We connect the sources through tools and MCP, and implement the skills, the agent work, the validation, and the workspace.

    You get Connected pilot

  5. 05

    Prove

    We compare representative cases against the baseline. The results decide, with you, whether to improve, expand, or pause.

    You get Evaluation and rollout decision

What your team learns goes back into the skills we maintain together.

Useful analyses become reusable skills, repeated questions become persistent metrics, and an expert's correction changes the method only after review and a test. Rules, policies, and templates keep owners and versions.

  1. 01 Observe the outcome
  2. 02 Find the cause
  3. 03 Propose a check
  4. 04 Test and approve
  5. 05 Apply to future work

One role. One workflow.

We begin with agreed integrations, representative cases, and a named process owner. Your existing systems remain the systems of record.

We measure completed work.

Handling time, completion quality, rework, repeat use, and cost per completed case. We count agent costs and human review in.

The questions

What changes for the team?

Does a person need to prompt every step?

No. Incoming work can trigger approved preparation on its own. Specialists ask follow-up questions, request further analysis, and resolve the exceptions.

How does the workspace connect to our existing systems?

We connect the sources your team needs through approved integrations. Your existing platforms can remain in place, with access, indexing, and refresh requirements agreed for each source.

What happens when the evidence is incomplete?

The case shows the gap and the work that depends on it. A specialist can inspect the sources, correct the inputs, or continue through a manual path.

Is every task suited to three panels?

The pattern suits repeated case work with substantial preparation and judgment. Dedicated views stay useful for bulk editing, spatial work, or complex modeling.

How do we establish whether it is better?

A baseline and acceptance thresholds are agreed before the pilot. Representative cases, including the exceptions, are compared with the current process.

Where to start

What could an expert workspace look like for your team?

Let's talk about how your specialists work today and where connected data, tools, and agents could help.