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You have a use case. We have a solution.

Most AI integrations are built as software features—buttons that summarize text or generate drafts. We build voice and text agents that operate as resources. If your team is losing hours to communication overhead, manual ticket triage, or dropped context, an LLM wrapper will not solve the bottleneck.They sit inside your CRM, attend your meetings, and execute workflows exactly as a human contractor would. You need an agent that acts on your data autonomously. Treat them as resources, not software features.

One agent to enterprise · nothing subcontracted · nobody ignored

Book the callSee what we've built
AI agentsVoice personalitiesGrounded chatbotsBooking & follow-upMVP buildsInteractive webCRM automationMonitoring & triageRetrieval pipelinesWebGL product demos

Outcomes we have shipped

+35%

User interaction — Linkop

Premium lifestyle storefront, built end-to-end. Rebuilt around the product photography instead of catalogue rows.

Halved

First-response time

B2B SaaS support team. Multi-agent triage replaced a manual morning sort across four platforms.

1 in 3

Tracking calls closed without an agent

National logistics provider, where thirty hours a week went to calls that needed no judgement.

14 days

To the first working demo

Every engagement, at every tier. Demos land fortnightly after that, not once at handover.

Client-measured, not projected. Named where permitted; the rest withheld under NDA.

Why teams call first

If your team is losing hours to communication overhead, an LLM wrapper will not solve the bottleneck.

FirstUmpire agency deck

The AI Project Manager for Standups

When your product manager is double-booked, the standup still happens. Our voice agent joins the huddle. It reads the GitHub commit history from the last 24 hours, asks engineers for their blockers, and updates the Jira board in real time. It is a temporary project manager, not a transcription tool.

CRM Ticket Triage & Resolution

Support queues hide structural bottlenecks. We integrate directly into your CRM to triage incidents the moment they arrive. The agent reads the history, categorises the severity, identifies recurring API failures, and routes the ticket directly to a Tier 2 engineer.

The Silent Incident Manager

During a P1 outage, engineers spend 30% of their time updating stakeholders and searching runbooks instead of writing the fix. Our chatbot sits in your incident channel. It pulls the relevant runbook, pages the on-call engineer, and updates the public status page. Your team writes code. The agent handles the room.

  • One point of contact
  • A named engineer, not a rota
  • Working demo every sprint
  • You own the codebase

What we do

Four disciplines.
One team.
No handoffs.

Most studios do one of these well and subcontract the rest, then decline whatever is not worth the coordination overhead. All four sit in-house here, on a platform already in production.

01 / 04

AI & Automation

Agents that close tickets, not chat about them.

Bookings that go unanswered, follow-ups nobody makes, monitoring nobody reads, vulnerabilities nobody triages. If a task is repetitive, rule-based, or buried in a shared inbox, it is a candidate — and we build agents with real tool access and real grounding, so they retrieve actual records and take actual actions rather than generating plausible sentences about them.

  • Ops copilots
  • Voice intake
  • Retrieval pipelines
  • Slack/Teams workers
Open 01
02 / 04

CRM Systems

A pipeline that reflects reality, not optimism.

A CRM is only worth the data inside it and the actions it triggers — true whether you have forty reps or one founder chasing every lead personally. We implement, restructure, and wire them into the rest of your stack so the forecast stops being a guess and nobody spends their evening on data entry.

  • HubSpot
  • Salesforce
  • Predictive scoring
  • Warehouse sync
Open 02
03 / 04

Web & App Build

Products that survive their second year.

From a first release you can put in front of a customer next month to a full application with real users behind it. We select a stack around whoever maintains it after we leave, which usually means fewer moving parts than expected and a codebase your own team can read.

  • Next.js
  • React Native
  • WebGL
  • Node / Python
Open 03
04 / 04

Interface Design

Design from day one, not bolted on at the end.

Every build includes design thinking from the first call. Bolting UX on after the architecture is set is how products end up technically correct and unpleasant to use.

  • Product UX
  • Design systems
  • Motion
  • Prototyping
Open 04

How this actually works

Complete System Visibility

Enterprise teams do not buy algorithms; they buy predictability and headcount efficiency. We do not build opaque systems. We build architectures that read from Salesforce, write to Jira, and speak in Google Meet. Every deployment includes complete visibility into the logging, prompt mechanics, and routing logic.

Six weeks, two engineers, one API key

What you commission is the integration onto your edge cases. Your booking rules, your follow-up cadence, your escalation path, your systems of record.

Defensible metrics

We do not promise efficiency; we measure it. We measure support tickets routed correctly, standup time reclaimed, and incident resolution time reduced. If an agent cannot materially reduce the load on your human team, we will not build it.

  • Running platform, not a fresh build
  • Integrated onto your edge cases
  • Enterprise controls when scoped
  • One use case or the full programme

Fit

Enterprises in fintech, SaaS, healthcare tech and e-commerce sit alongside owner-operators with a single costly manual process and no in-house engineer. Both are core work. Nothing below refers to your headcount, your funding, or your letterhead.

Call us if

  • Something manual is consuming a week of someone's time — bookings, follow-ups, triage, re-keying — and you can name it in a sentence.
  • You run HubSpot, Salesforce, Slack, a warehouse, or a fleet of tools that should be exchanging data and are not.
  • Your requirement is an edge case no off-the-shelf product addresses.
  • You need enterprise integration — SSO, audit trails, data residency, procurement review — and the appetite to specify it properly.
  • You are raising or pitching, and the first artefact you need is a working product rather than a deck.
  • You intend to own the codebase and have your own engineers read it.

Come back later if

  • There is no defined outcome yet — only a conviction that AI belongs somewhere in the business.
  • The technology is named before the problem is.
  • You want to hand over a finished specification and hear nothing until launch.
  • You want agreement rather than an assessment of what the work actually warrants.

Selected work

All case files
Agents + CRM

Autonomous support network

B2B SaaS support team

Multi-agent triage across Slack and the CRM, replacing a daily manual sort across four platforms.

Result

First-response time halved; routing handled without a human touch.

Voice + LLM

Logistics voice intake

National logistics provider

Authenticates the caller, checks delivery status, escalates anything it cannot close.

Result

Roughly a third of routine tracking calls now resolve without an agent.

How we work

Five stages.
No black box.

Eight to sixteen weeks from bottleneck to deployed system, with a working demo at the end of every sprint.

Every engagement moves through the same sequence regardless of which discipline it starts in. You always know which stage you are in, what comes out of it, and what it takes off the table.

  1. 01

    Discover

    1 week

    A scoping call that costs nothing. We learn the business, locate the actual bottleneck, and establish the first build worth committing to.

    Output — Written scope, honest recommendation

    You do not build the wrong thing

  2. 02

    Design

    1–2 weeks

    Flows, wireframes, and system architecture — signed off before a line of production code exists.

    Output — Architecture doc, interactive prototype

    You see it before the build budget is committed

  3. 03

    Build

    4–10 weeks

    Sprints with a working demo at the end of each one. You see the product every fortnight, not once at handover.

    Output — Deployed staging environment

    You can redirect after any demo, not only at the end

  4. 04

    Automate

    1–3 weeks

    Where it earns its place, we layer in agents and pipelines so what launches is already doing work a person used to do — bookings, follow-ups, triage, the report nobody had time to write.

    Output — Live integrations, monitored jobs

    Automation only where it pays for itself

  5. 05

    Support

    Ongoing

    Monitoring, iteration, vulnerability triage, and a named engineer who holds the codebase. Products that freeze on launch day were never finished.

    Output — SLA, monthly iteration cadence

    No handover cliff

Shape of the work

What is included

There is no minimum engagement and no threshold to clear. We do not publish a figure, because one quoted before anyone has examined your systems is padded or about to be revised.

You get a real number in writing within a week of the first call, calibrated to the leanest version that genuinely works.

  • No minimum engagement
  • Scoped before it is quoted
  • Stop at any stage boundary
  • Fixed scope, fixed number
013–6 weeks

Starter

A single use case, resolved end to end. A first agent, a working product for the thing you are pitching, or a CRM implemented properly the first time.

028–16 weeks

Growth

Multi-step automation, full CRM plus AI, or an application with real users. Usually what a Starter turns into once the first piece pays for itself.

03Rolling

Ongoing

Systems that must keep running and keep improving — monitoring cadence, vulnerability triage, and a named engineer who holds the codebase.

Shapes, not tiers. Engagements move between them as scope resolves.

What we build with

We select a stack around your team, not our preferences. Where that team is a platform group with standards to meet, we build to them. Where it is a founder and one engineer, the answer is fewer moving parts than expected — and a codebase either of them can read on day one without calling us to translate it.

Front-end

  • Next.js / React
  • WebGL / Three.js
  • GSAP / Lenis
  • React Native

Back-end

  • Node / Python
  • REST / GraphQL
  • Queues & workers
  • Postgres

AI & data

  • LLM orchestration
  • Vector search
  • Evaluation harnesses
  • RAG pipelines

Business systems

  • HubSpot / Salesforce
  • Ticketing
  • Warehouses
  • Webhooks & APIs

Start here

Not sure what you need yet?

That is a reasonable place to begin, and the most useful conversation we have. Bring the problem rather than the solution, at whatever scale you have it. Twenty minutes, and none of it is a pitch.

  • A written map of where your team's time is going
  • The first build worth committing to, and its sequence
  • A straight answer on scope, sequence, and what to leave alone
Book the call

No deck. No minimum. No follow-up sequence.

first-umpire.sh — bash — 80×24

Before you call

Frequently asked questions
01 / 05

How much does an AI agent cost to build?

We do not publish a number, because the honest one depends on what it has to touch. A single booking agent wired to one calendar is not the same job as voice intake authenticating callers against an ERP. You get a real figure in writing within a week of the first call, after scope — never a padded range before it.

See how engagements are shaped