Skip to main content
Plucore
AI Solutions

Ship the AI tool,
not the slide deck.

Custom agents, assistants, and automation — scoped to a real workflow, built into production, and handed to your team with documentation they can own.

Book a discovery call See what we build
The case for building vs buying

Most AI tools don't fit your business. They fit the market.

SaaS AI products are built for the average customer at the 50th percentile of a broad market. That's fine for commodity work. It's the reason nothing moves when you plug them into your actual operations.

Generic tools save minutes

A custom tool shaped to your workflow saves hours per person per week. The difference compounds.

Your data is the moat

Competitors can buy the same SaaS you can. A system trained on your operations is yours alone.

You keep control

No vendor lock-in, no data leaving your stack, no pricing surprise when usage scales.

What we build

Four ways we put AI to work.

Each is a standalone engagement. Many clients start with one and expand from there.

01 — Knowledge Assistants

Turn your company's documents into an assistant that answers.

Policies, SOPs, contracts, past proposals, onboarding docs, product specs — most of the knowledge your team needs is already written down. It's just impossible to find at the moment you need it.

What we build

  • —A search-and-ask assistant trained on your internal documents, with source citations for every answer.
  • —Role-aware permissions so sales sees what sales should see, and finance sees what finance should see.
  • —A re-indexing pipeline that keeps the assistant current as your docs change.

Used by

  • —Sales reps looking up pricing rules and past proposals mid-call
  • —Operations answering policy questions without pinging the founder
  • —New hires ramping up in days, not months
02 — Document & Workflow AI

Generate the documents your team rewrites every week.

Proposals, quotations, SOWs, invoices, reports, meeting recaps — the shape of these documents rarely changes. Only the inputs do. Humans doing this work is overhead you can recover.

What we build

  • —Form-to-document generators that turn structured inputs into polished, branded output in seconds.
  • —Extraction pipelines that pull structured data out of invoices, contracts, and PDFs.
  • —Review workflows where AI drafts, a human approves, and the system tracks every change.

Used by

  • —Sales teams sending proposals in minutes instead of hours
  • —Finance auto-reading vendor invoices into the ERP
  • —Ops producing weekly reports without a manual copy-paste
03 — Customer Communication AI

Draft, triage, and translate inbound messages before your team reads them.

Your inbox is where your business lives, and it's also where it breaks. Messages go unanswered, tone drifts between team members, and context gets lost in threads nobody can find.

What we build

  • —Triage on incoming email, WhatsApp, and form submissions — categorised by intent and priority.
  • —Draft replies in the customer's language, based on your tone and past responses.
  • —An escalation layer: anything sensitive or high-value waits for a human before it sends.

Used by

  • —Support teams clearing inbox backlogs without hiring more people
  • —Multilingual businesses replying in-language without hiring translators
  • —Founders getting their evenings back
04 — Custom Agents

When off-the-shelf doesn't fit, we design the agent to your workflow.

Most AI tools are shaped like the market, not like your business. We build the custom ones — agents that talk to your systems, follow your rules, and handle the workflow end-to-end.

What we build

  • —Agents that read from and write to your ERP, CRM, Google Drive, Slack, and databases.
  • —Guardrails, approval steps, and full audit logs so nothing moves without traceability.
  • —Deployment on your infrastructure or ours, with documentation your team owns.

Used by

  • —Procurement agents that handle supplier quotes end-to-end
  • —Scheduling agents that own calendar coordination across teams
  • —Internal research agents that run on-demand analysis
How we work

Principles that keep AI projects shipping.

Most AI initiatives die in the scoping phase. These are the rules we hold ourselves to so yours doesn't.

Scoped to one workflow

We pick a single bottleneck, define the success metric, and ship against it. No boil-the-ocean strategy engagements.

Weeks, not quarters

First working version in the hands of your team within weeks. Iteration with your team, not a steering committee.

Into your stack, not beside it

AI that connects to the tools you already use — ERP, email, docs, databases. Not another tab to open.

Human-in-the-loop by default

Sensitive outputs always pass through human review until you choose to relax that. Audit logs from day one.

Your team owns it

Documentation, access, and a clear handover. When we leave, nothing breaks and nothing is mysterious.

Honest about fit

If a workflow isn't a fit for AI, we tell you. Most of what gets sold as AI is a SQL query in a costume.

The engagement

Four phases. One deliverable.

01

Map

A short discovery sprint inside your business. We find the workflows that burn hours and pick one with clear ROI to build first.

02

Scope

We define the workflow boundary, success metric, data sources, and rollout plan. You get a fixed timeline and a clear deliverable — no scope drift.

03

Build

We prototype fast, ship into your team's hands, and iterate with the humans doing the work. The feedback loop is days, not weeks.

04

Hand over

Documentation, runbooks, access, and training. You can operate and extend what we built without us.

Answers

Frequently asked.

How long does a typical engagement take?+

A scoped AI workflow is usually 4–8 weeks from kickoff to a production tool in your team's hands. Custom agents with deeper system integration can extend to 10–14 weeks.

Do you use OpenAI, Claude, or open-source models?+

We pick the model that fits the job: accuracy, latency, cost, privacy. Most engagements use a mix — frontier models where quality matters, smaller or local models where speed and cost do.

What about data privacy?+

We build with privacy-respecting architectures by default: data stays in your infrastructure where possible, no training on your data, and we can deploy fully on-prem or in your cloud account on request.

How is this different from buying an off-the-shelf AI tool?+

Off-the-shelf tools are shaped like the market. They solve the average use case for the average company. We build for the specific shape of your workflow, your data, and your team — which is usually where the real leverage is.

Do I need to have my data in good shape first?+

Ideal, but not required. Part of most engagements is structuring the data that AI needs. If the underlying operational data is broken, we may recommend fixing that first — often through an Odoo ERP engagement.

What does it cost?+

Scoped engagements typically start in the low five figures for a single workflow and scale with complexity. We prefer fixed-scope pricing over hourly billing so you know the cost before we start.

Need the foundation first?

Your AI is only as good as the systems underneath it.

If your operational data is scattered across spreadsheets and disconnected tools, AI will amplify the chaos before it amplifies the value. We also implement, develop for, and rescue Odoo ERP projects — led by an ex-Odoo consultant.

Explore Odoo services

Pick a workflow your team hates.

Tell us what it is. If it's a fit for AI, we'll tell you how we'd build it and what it costs. If it isn't, we'll tell you that too.

WhatsApp usBook a strategy call
    WhatsApp