PICOVAL LIMITED
Software engineering · AI · Automation

We design and build intelligent business systems.

PICOVAL engineers custom software, AI, automation and integrations into one working system — so your operation runs on structure instead of manual effort.

  • Custom software built around your actual workflow
  • AI and agents where they measurably help — with rules and oversight
  • Existing systems connected, automated and modernised
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Typical reply in minutes, not days

UK registered companyCo. No. 12623543
operations.layerLive
queue
142
auto-handled
76%
sla breach
0
  • REQ-4192triageAI
  • REQ-4193routeRULE
  • REQ-4194draftAI
  • REQ-4195approveHUMAN
  • REQ-4196executeSYS
cycle time-64%
throughput +18%audit trail complete
Projects we take on
  • A single integration
  • An internal tool
  • An AI feature inside existing software
  • A full business platform
Domain modellingWorkflow enginesRole-based accessEvent-driven integrationRetrieval pipelinesTool-calling agentsStructured outputsGuardrails & evaluationObservabilityAudit trailsOperational dashboardsIncremental modernization
Platform ecosystem

We build on and integrate directly with the platforms your business runs on

Verified business accounts and first-party API integrations across growth, payments and commerce.

Problems we solve

The work that costs you the most is usually the work nobody designed.

Most companies don't need more tools. They need the work to move through a system that actually reflects how they operate.

Before
emailspreadsheetchatphonepdfmanual report
01

Work lives in messages and spreadsheets

Requests arrive by email, chat and phone. Nothing is a record, nothing is tracked, and status depends on who you ask.

02

Systems that don't talk to each other

The same information is re-entered in three places because the tools were never connected.

03

Repetitive manual work

Skilled people spend hours copying data, chasing approvals, writing the same replies and assembling the same reports.

04

No visibility while work is in progress

Managers find out about a delay after it becomes a problem, because reporting is manual and always late.

05

Software that doesn't fit the business

An off-the-shelf product covers 60% of the process, and the remaining 40% turns into workarounds.

06

AI that was added, not designed in

A chatbot bolted onto a system it cannot read, cannot act in, and cannot be held accountable for.

Evidence, not adjectives

What changes when the work runs on a designed system.

Typical ranges we engineer toward on operational engagements. Every number is measured against the client's own baseline before we start.

60–80%
Less manual handling
Re-entry, copying and chasing removed from the daily loop.
3–5×
Faster cycle time
From request to resolved, once handoffs stop waiting on inboxes.
100%
Traceable actions
Every automated or AI action is logged, attributable and reversible.
24/7
Operational visibility
Live status on the system of record instead of monthly assembled reports.
Engagement pattern

From inbox-driven operations to one operating layer

A services operation running intake on email and WhatsApp, assignment on spreadsheets, and reporting assembled by hand every week.

  1. 01Modelled the real workflow: request, triage, assignment, approval, delivery, close.
  2. 02Connected the existing accounting and storage systems instead of replacing them.
  3. 03Added classification and drafting on approved data, with a human approval gate.
  4. 04Instrumented the whole path — SLA timers, escalation, and a live operations view.
Outcome
1 system
Instead of four disconnected tools
-70%
Time spent on coordination
Same team
Handling significantly more volume
What we build

One engineering team for software, AI, automation and integration.

These are not separate service lines. They are parts of the same system, designed together around the business problem.

See what we build

  • Custom business software

    Platforms and internal systems built around your real process, roles and rules.

  • AI systems and agents

    Assistants and agents that read approved data, follow business rules and take controlled actions.

  • Workflow automation

    Work moves between people, systems and AI automatically — with approvals kept human.

  • System integrations

    Existing tools connected so information and actions move without manual re-entry.

  • Operational dashboards

    Live operational and financial visibility instead of assembled-by-hand reports.

  • Web and mobile applications

    Customer-facing and field-facing applications connected to the same operating layer.

  • Existing software improvement

    Modernise, extend, stabilise or add AI capability to software you already run.

  • Customer operations systems

    Intake, triage, routing, response and follow-up structured end to end.

How modern systems work

Software is no longer a passive application.

A modern business system understands context, coordinates work between people and software, and executes controlled actions. AI is one layer inside it — not the point of it.

Outcome

Technology is not the objective. A better-operating business is the objective.

  1. 01
    Business operations

    Customers, requests, orders, documents, cases — the work that actually happens.

  2. 02
    Data & existing systems

    Your databases, ERP, CRM, spreadsheets, files and external APIs, connected as one source.

  3. 03
    Business rules

    Policies, thresholds, permissions and validations expressed as deterministic logic.

  4. 04
    Intelligence

    Understanding, classification, retrieval, drafting and decision support over approved data.

  5. 05
    Execution

    Humans, AI agents and automated workflows carrying out the work, each doing what they're best at.

  6. 06
    Outcomes

    Actions taken, decisions recorded, results visible — every step traceable.

A system, not a stack of toolsLive
1Inputs
  • Customers
  • Employees
  • Channels
  • Documents
2System core
  • Existing software
  • Databases
  • Business rules
  • Workflow engine
3Intelligence
  • Context & retrieval
  • Classification
  • AI agents
  • Decision support
4Outcomes
  • Human approvals
  • Automated actions
  • External APIs
  • Reports & alerts
Conceptual architecture — the shape of the systems we design.
The difference

Three ways to run an operation. Only one compounds.

Most businesses are somewhere in the first two columns and paying for it in time, errors and invisible delay.

Where work lives
Manual coordination
Inboxes and chats
Tools bolted together
Split across products
A designed operating layer
One record, one lifecycle
Status
Manual coordination
Ask someone
Tools bolted together
Export and reconcile
A designed operating layer
Live, always current
Rules
Manual coordination
In people's heads
Tools bolted together
Per-tool settings
A designed operating layer
Explicit, versioned, enforced
AI
Manual coordination
None or a side chatbot
Tools bolted together
Disconnected assistant
A designed operating layer
Scoped, permissioned, audited
Scaling
Manual coordination
Add headcount
Tools bolted together
Add more tools
A designed operating layer
Add capacity, not coordination
Risk
Manual coordination
Undocumented
Tools bolted together
Partially visible
A designed operating layer
Logged and reversible
Why PICOVAL

Engineering judgment before technology choice.

The right answer is usually a combination: some custom software, some deterministic rules, some automation, some AI, and people where people matter.

  • We define the problem before proposing a build

    You get a technical opinion first. Sometimes that opinion is that you need far less than you expected.

  • Right-sized architecture

    We don't oversize systems to inflate a project, and we don't under-engineer something that has to run for years.

  • AI with rules, permissions and audit

    Anything an AI can do in your system is scoped, logged and reversible. Critical decisions stay with humans.

  • Built to be maintained

    Clear architecture, documented boundaries and code that a team can still work on in three years.

How we work

Understand, design, engineer, observe.

A short, honest path from first conversation to a system that runs.

  1. 01

    Understand

    The business problem, existing systems, data, people, constraints and risk.

  2. 02

    Architect

    The right combination of software, rules, automation, AI and human steps.

  3. 03

    Engineer

    Built, integrated and tested against real operations, not assumptions.

  4. 04

    Observe & improve

    Logs, metrics and evaluation — then the next iteration, based on evidence.

How we hold the line

Engineering commitments, written down.

  • A technical opinion first

    Before any build, you get an honest read on what should — and should not — be built.

  • Human authority preserved

    Automated and AI steps stay inside explicit permissions, with approval gates where consequences are real.

  • Everything observable

    Logs, metrics and evaluation from day one, so behaviour is evidence rather than assumption.

  • Maintainable by others

    Documented boundaries and clear architecture, so your team can still change it in three years.

Company information

PICOVAL LIMITED — registered in the United Kingdom.

Our company details are publicly available on the Companies House register.

Registry

Registry
UK registered company
Company number
12623543
Company status
Active
Company type
Private limited Company
Incorporated on
26 May 2020
Verification
Listed on Companies House
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London, United Kingdom
167-169 Great Portland Street, 5th Floor, London, W1W 5PF
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Partner programme

Earn 10% on every project you bring us.

Affiliates, software agencies and one-off referrals. Apply in a single WhatsApp message.

See the partner programme
Start a conversation

Tell us what you need to build.

Small integration, internal tool, AI feature or a full business platform — start with the problem, not a specification.

Chat on WhatsAppDiscuss your project

No specification needed — describe the problem in a few lines.

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UK registered companyCo. No. 12623543
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