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Computer-Use Agents

Computer-Use Agent Development

FISTA Solutions builds computer-use agents for the systems that have no API: bounded browser and desktop automation in sandboxed environments, with verification after every consequential step, human checkpoints, and an honest assessment of where this approach is fragile.

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150+
projects delivered
50+
companies served
99.9%
verified uptime
47%
efficiency gains
12+
countries reached

What we build

What does a computer-use AI agent do?

Computer-use agents navigate applications that expose no API: retrieving data from portals, entering data into legacy forms, running periodic tasks, and capturing evidence — all in sandboxed environments with verification and human checkpoints before anything consequential is committed.

  1. 01

    Portal data retrieval

    Logs into vendor and government portals to retrieve data on schedule, capturing evidence of each run.

    Retrieval
  2. 02

    Legacy data entry

    Enters data into applications with no API, verifying each committed record against the source.

    Entry
  3. 03

    Periodic task execution

    Runs recurring tasks in legacy systems with screenshots and logs proving what happened.

    Operations
  4. 04

    Verification layer

    Reads back what was written and compares to intent before treating a step as complete.

    Quality
  5. 05

    Sandboxed execution

    Runs in isolated environments with scoped credentials and no access beyond the target application.

    Safety

Requirements

What guardrails does a computer-use agent need?

Computer-use agents act through interfaces built for humans, which makes them inherently more fragile than API integration. The guardrails reflect that: verification after every write, sandboxing, human checkpoints, and a clear statement of when this approach should not be used.

Computer-Use Agents: requirements and how FISTA Solutions builds to them
GuardrailWhy it mattersHow FISTA implements it
Prefer APIsUI automation is a last resort.Integration options are exhausted first; computer use is proposed only where no API, export, or database path exists.
Write verificationUI changes silently break automation.Read-back verification after every write, comparing committed state to intent before proceeding.
SandboxingAgents driving a desktop are powerful.Isolated environments, scoped credentials, no access beyond the target application, and full session recording.
Human checkpointsConsequential actions need approval.Approval before submissions, payments, and irreversible actions, with screenshot evidence presented for review.
Change resilienceVendors update their interfaces without notice.Monitoring for interface changes, fast failure rather than wrong actions, and alerting to owners.

Where AI fits

Where should a computer-use agent start?

Start read-only. Retrieving data from a portal proves the approach, builds confidence in the verification layer, and carries none of the risk that writing into a system you do not control involves.

  1. 01

    1. Exhaust integration options

    APIs, exports, database access, or vendor partnership beat UI automation every time.

  2. 02

    2. Start read-only

    Retrieval proves the approach with no risk of writing something wrong.

  3. 03

    3. Add verified writes

    Read-back verification on every committed record before the step is considered done.

  4. 04

    4. Gate consequential actions

    Human approval with screenshot evidence before submissions and irreversible steps.

  5. 05

    5. Monitor for breakage

    Interface changes should fail loudly and immediately rather than produce wrong actions quietly.

Cost and timeline

How much does a computer-use agent cost, and how long does it take?

Cost is driven by interface complexity and verification depth; timeline by access to a non-production environment. FISTA does not quote blind: the scoping call returns an approach assessment, including whether computer use is the wrong answer.

Maintenance is the honest cost. Interfaces change without notice, so computer-use automation carries an ongoing maintenance load that API integration does not. FISTA states that clearly before you commit rather than after the first vendor update.

A non-production environment is close to essential. Testing write operations against live vendor systems is risky, so obtaining a sandbox is usually the first practical step.

Send the scope you have, even if it is a paragraph. You get a written brief, an architecture sketch, and a phased estimate before any commitment.

Get a scoped quote

Delivery

How does FISTA deliver an AI agent into production?

FISTA delivers agents in four gated phases: a discovery sprint that picks the workflow and writes the agent specification, a design that names tools, permissions, and approval points, a build with an evaluation harness and shadow runs on real work, and a production release with traces, dashboards, and rollback.

  1. 1

    Select and specify

    Choose the workflow with a measurable outcome, map its systems and edge cases, and write the agent spec with success metrics.

    Output

    Agent specification, golden test set

  2. 2

    Design the guardrails

    Tool inventory with least-privilege scopes, approval gates, escalation paths, data handling, and the evaluation plan.

    Output

    Tool and permission matrix

  3. 3

    Build and shadow-run

    Implement tools as MCP servers or connectors, iterate against the evaluation harness, and run in shadow mode on live inputs.

    Output

    Shadow-mode results, eval scores

  4. 4

    Release and observe

    Graduated rollout, full traces, cost and quality dashboards, on-call runbook, and a change process that re-runs the evals.

    Output

    Production agent with SLOs

Why FISTA

Why build your computer-use agent with FISTA Solutions?

FISTA recommends computer use only when integration is genuinely unavailable, and builds it with verification, sandboxing, and honest disclosure of its fragility. Work is contracted through a US entity with full IP assignment.

Computer-Use Agents specifics

  • Integration paths are exhausted first; FISTA will tell you when computer use is the wrong answer for your case.
  • Every write is verified by reading back the committed state before the step is treated as complete.
  • Execution is sandboxed with scoped credentials and full session recording for audit.
  • Interface changes cause loud, fast failure with alerting rather than quiet wrong actions.

How FISTA engineers

  • Spec-Driven Development: every deliverable starts as a written specification with acceptance criteria, so scope is testable before it is built.
  • AI-native delivery: engineers direct coding agents under review gates and evaluation harnesses, compressing build time without loosening verification.
  • Official Anthropic partner, with production experience across Claude, OpenAI, Google, and open-weight models, chosen per workload rather than by default.
  • One accountable delivery lead, weekly demos on your environment, and code in your repositories from week one.

What you get as a client

  • 150+ projects delivered for 50+ companies across 12+ countries since 2017, with 99.9% verified uptime on systems we operate.
  • A US entity (FISTA Solutions Inc., Wilmington, Delaware) for contracting, invoicing, and IP assignment, with an engineering center in Faisalabad, Pakistan for cost-efficient senior capacity.
  • US business-hours overlap for standups and reviews; written decision logs so nothing depends on a meeting you missed.
  • Flexible engagement: fixed-scope build, embedded forward deployed engineers, or a dedicated team that you can scale month to month.

Clear answers

What teams ask before deploying agents.

Straightforward guidance for evaluating scope, fit, and the next step.

01Is computer use better than RPA?

It handles variation and unfamiliar screens better than brittle selector-based scripts, but it shares the same fundamental fragility: both depend on interfaces built for humans. Where an API exists, use it instead of either.

02How reliable is it?

Less reliable than API integration, which is why verification after every write and loud failure on interface changes are built in. FISTA states expected reliability honestly for your specific target application.

03Is it safe to give an agent our credentials?

Credentials are scoped to the target application, stored in a secret manager, used only inside a sandboxed environment, and every session is recorded. Broad credentials or shared accounts are not acceptable.

04What happens when the vendor changes their interface?

The agent fails loudly and alerts owners rather than continuing and producing wrong actions. Interface monitoring is part of the build, and maintenance is part of the ongoing cost.

05Should we do this at all?

Only where no API, export, or database path exists. FISTA assesses integration options first and will recommend against computer use when a better path is available.

Continue exploring

Related capabilities

MCP server developmentProper tool interfaces for agents where APIs exist.Legacy modernizationReplacing the systems that force UI automation in the first place.Computer-use agents in the enterpriseWhitepaper on where computer use belongs and where it does not.

Scoped in writing before you commit

Automate the system that has no API — carefully.

Bring the application and the task. The scoping call returns an approach assessment, including an honest answer if computer use is wrong for you.

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