Listen
We begin with the work, not the tooling. Interviews, observation, the way decisions actually get made.
00Studio
Useful
intelligence,
clearly evidenced.
Eviya Studio helps business teams turn scattered information, customer signals, research, and AI capabilities into practical workflows they can use, test, and trust.
01The Problem
Most teams aren't drowning in AI.
They're drowning in AI noise.
Demos look extraordinary. Pilots stall. Vendors multiply. The same questions return every quarter — what's actually working, what's safe to ship, what's worth paying for.
We were tired of seeing thoughtful organisations confuse motion for progress. So we built a studio that does the slower work: choosing carefully, designing precisely, measuring honestly.
02Approach
We design AI the way good studios design anything — with restraint, intent, and evidence.
Frame
We isolate the workflows where AI changes the economics — and the ones where it quietly doesn't.
Design
Prompts, retrieval, evaluation harnesses, and human review — composed as a single product, not a stack of demos.
Implement
We build, instrument, and hand over. Outcomes are measured against the baseline that existed before we arrived.
03Services
A small catalogue,
deeply considered.
Each engagement is bespoke. The list below is a vocabulary, not a menu — most clients arrive needing two or three of these working together.
AI Strategy & Audit
A clear-eyed read of where AI moves the needle in your business — and where it's a distraction.
2 – 4 weeksKnowledge Assistants
Internal assistants grounded in your documents, decisions, and institutional memory. Cited, evaluated, governed.
EngagementSales Intelligence
Workflows that turn signals — accounts, calls, CRM, the open web — into briefs your team will actually read.
EngagementResearch Assistants
Custom research workflows for analysts, strategists, and operators. Sources tracked. Reasoning visible.
EngagementEvaluation & Observability
Test sets, rubrics, and dashboards so you know — quantitatively — whether the system is improving.
EmbeddedControlled Automation
Automation with guardrails: human review where it matters, autonomy where it's earned.
Engagement04Use Cases
Three quiet examples
from recent practice.
Plate 01
Professional services
A research desk that reads everything overnight.
We replaced a fragmented stack of summarisers with a single research workflow. Analysts now begin each morning with a curated brief, sources cited, contradictions flagged.
−63% prep timemeasured outcome
Plate 02
B2B Sales
Account briefs that sellers actually open.
Pre-call intelligence assembled from CRM, transcripts, filings, and the open web — written in the voice of a thoughtful colleague, not a model.
+22% reply ratemeasured outcome
Plate 03
Operations
Institutional memory, made retrievable.
A grounded assistant over five years of policy, decisions, and Slack — with citations, access controls, and a quiet evaluation loop running underneath.
8,400 queries / momeasured outcome
05Field Notes
Writing from
the practice.
Short essays on what we're learning in client work. No predictions, no manifestos — only what the evidence will support.
№ 04May 2026
On the quiet failure of evaluation.
Most AI projects do not fail loudly. They drift — slowly, plausibly — until the team forgets what good once looked like.
Read note →№ 03April 2026
Retrieval is a design problem.
The hardest part of a knowledge assistant is rarely the model. It is the librarian's question: what counts as relevant, and to whom?
Read note →№ 02March 2026
Against the agentic everything.
Autonomy is a feature you earn, one verified workflow at a time. We tend to err toward the boring side of useful.
Read note →06Contact
Begin with a
conversation.
We take on a small number of engagements each quarter. If you suspect AI could be doing more in your organisation — or quietly less — we'd like to hear about it.
hello@ibd-ai.com
London · Remote