Services / 05 · AI & Automation

AI built for real work.

AI agents and automations that do real work, grounded in your data and under human control.

A professional working with an AI assistant
BillingDraft replyConfidence0.94

Hi, thanks for reaching out. I’ve attached a copy of your March invoice [1]. Payment terms remain net 30 as per your agreement [2].

Sources[1] Invoice INV-0312.pdf[2] Billing policy v4 · §2.1
Approve & sendEditReject
Sound familiar?

The problems we solve.

AI is useful when it removes real effort from a real process, and dangerous when it guesses. We build AI agents and automations that are grounded in your sources, keep a person in control of what matters, and log every step.

Manual repetitive work

People copy, paste, check and re-key the same information all day.

Slow lead response

Leads wait hours for a reply while competitors respond first.

Repetitive support

The same questions, answered by hand, again and again.

Documents read by hand

Invoices, forms and contracts are keyed in manually.

Requests routed by guesswork

Messages sit in shared inboxes until someone sorts them.

Approvals stuck in email

Decisions stall because nobody knows it is their turn.

Real-world use case

A support team handling repetitive requests, with a person in control.

01Message02Classify03Retrieve04Verify05Draft06ApproveHuman in the loop07Send08Audit
A support specialist reviewing an AI-drafted reply

01MessageA customer email arrives.

02ClassifyIntent, priority and owner.

03RetrieveRelevant passages from approved documents.

04VerifySources, versions and confidence checked.

05DraftA reply is drafted from the sources.

06ApproveA person approves, edits or rejects.

07SendSent in the original thread.

08AuditEvery step is logged.

Reviewing documents with AI assistance
Knowledge sourcesApproved · versioned
Billing policyv4 · 12 pages
Terms of servicev9 · 18 pages
Product handbookv2 · 64 pages
Delivery SOPv3 · 9 pages
What we build

What we build.

AI Agents

Agents that classify, look up, draft and act inside your tools, with limits you define.

RAG

Retrieval-augmented answers grounded in your documents, with citations.

Customer Support Automation

Suggested and approved replies, triage and self-service answers.

Email Automation

Inbox classification, extraction, routing and drafted responses.

Voice Agents

Phone assistants for booking, qualification and simple requests, with handoff to people.

Document Processing

Extract, validate and file data from invoices, forms and contracts.

Lead Automation

Instant capture, enrichment, qualification and routing of new leads.

Workflow Automation

Multi-step processes triggered by events across your systems.

Approval Automation

Rules-based approvals with escalation, reminders and audit.

Business Process Automation

End-to-end redesign of manual processes with automation where it earns its place.

How it works

A loop, not a handover.

  1. 01
    Process audit

    We find the steps that are repetitive, rules-based and worth automating, and the ones that are not.

  2. 02
    Sources & guardrails

    We define what the AI may read, what it may do, and what always needs a human.

  3. 03
    Pilot on real work

    A narrow pilot on real cases, measured against the manual baseline you already have.

  4. 04
    Scale with audit

    Expand coverage with monitoring, confidence thresholds and a full audit history.

Process auditSources & guardrailsPilot on real workScale with audit
AI & Automation

Built with

Chosen for your problem, your team and the systems you already run.

AI AgentsRAGAutomation.NETREST APIsEmail integrationsMicrosoft GraphSQLElasticsearchVoice agentsDocument AIAzureAI AgentsRAGAutomation.NETREST APIsEmail integrationsMicrosoft GraphSQLElasticsearchVoice agentsDocument AIAzure
FAQ

AI & Automation: common questions.

Will AI send things to customers on its own?

Only if you decide it should. Most deployments start with drafts that a person approves, then selectively allow automation for high-confidence, low-risk cases.

How do you stop the AI making things up?

Answers are grounded in retrieved sources, cite them, and fall back to a person when confidence is low or sources are missing.

Where does our data go?

We design around your data policies, including which model providers and regions are acceptable, and what is logged and retained.

Start with the problem

What problem are we solving?

Tell us what is slowing your business down. We will tell you honestly whether and how technology can fix it.