01
Applied AI & agents
Production agents and machine learning that sit inside real processes — intake, triage, drafting and forecasting — with humans kept in the loop where it matters.
Capability detail → APPLIED RESEARCH & AI SYSTEMS · SINCE 2020
Research-grade AI.
Production-ready
automation.
CONARID is a consortium for applied research in development. We design, ship and govern intelligent workflows for firms and institutions — combining AI agents, data analytics, automation, safety and traceability.
WORKFLOW / INVOICE-TRIAGE
● LIVE
IntakeEMAIL · FORMS · ERP
Classify & extractLLM · STRUCTURED OUTPUT
Policy checkGUARDRAILS · AUDIT LOG
Route & actCRM · FINANCE · OPS
01 / WHO WE ARE
CONARID
APPLIED RESEARCH
IN DEVELOPMENT
IN DEVELOPMENT
A consortium built for the gap between research and real operations.
CONARID — the Consortium for Applied Research in Development — brings together researchers, practitioners and institutions who believe technology only matters when it changes how work actually gets done.
Our focus is the digitalisation of firms and enterprises: the systems, data and capability that let organisations compete and grow sustainably.
01 Every engagement starts with a real operational problem, not a technology demo.
02 Evidence, measurable baselines and human judgement stay in the loop.
03 We build for transfer — the capability should remain with your team.
Five capabilities.
One delivery model.
Each capability is a working practice — not a slide in a deck. Most engagements combine two or three of them into a single build.
02
Technology policy & Fintech market development
Technology policy, digital finance strategy and market-development research that helps institutions understand emerging technologies, regulatory gaps and pathways to scalable fintech growth.
Capability detail →03
AI safety & governance
Risk assessment, red-teaming and deployment policy that let institutions adopt automation without exposing customers or communities to avoidable harm.
Capability detail →04
Data & decision systems
Pipelines, warehouses and decision dashboards that turn fragmented operational records into evidence leaders can actually act on.
Capability detail →05
Blockchain for business
Distributed ledger infrastructure that makes transactions, supply chains and ownership records verifiable across organisations that share no single authority.
Capability detail →ϟ FLAGSHIP PROGRAMME
Digitalisation of firms
and enterprises.
Our longest-running programme moves small and mid-sized organisations from scattered spreadsheets and manual process to dependable, automated systems — without buying technology they cannot operate.
- Digital maturity diagnostic across operations, data and capability
- Prioritised automation roadmap with costed, sequenced interventions
- Pilot deployment with measurable baselines and targets
- Internal training so your team can run and extend the workflows
ENGAGEMENT / 16-WEEK SPRINTFIXED SCOPE
01–02Diagnose
Process map, data audit, baseline metrics, automation candidates.
03–05Prototype
Working agent or pipeline in a sandbox, tested on real records.
06–12Deploy
Guardrails, monitoring, integration with your existing systems.
13–16Hand over
Runbooks, training and a measured impact report.
DELIVERABLERunbook + monitored workflow + impact report
03 / HOW WE WORK
Rigorous enough for research.
Practical enough for Monday.
Every engagement follows the same discipline: understand the baseline, agree what success means, build in the open, then hand over something the organisation can sustain.
Diagnose
We map how work actually happens — systems, data, handoffs and the people holding it together.
Design
Researchers and your team define the intervention together, with success measures agreed before anything is built.
Automate
We deploy in a contained setting, measure against the baseline, and document what breaks as carefully as what works.
Assure
Proven workflows are hardened, monitored and handed over with training, so capability stays in-house.
04 / INSIGHTS
Research that leaves
the page.
Selected areas of inquiry from CONARID's applied research practice.
From AI exposure to AI readiness
Measuring the adoption gap across developing economies.
Read the work →Open data & financial inclusion
Assessing technological and policy gaps across economies.
Read the work →Strategy to spending
Understanding funding gaps in national AI policy and capacity.
Read the work →05 / START A CONVERSATION
Have a problem worth
building around?
Where we served
Tell us what is not working. We will help frame the research question, identify the operational leverage point and decide what should be built.
reach.conarid@gmail.com ↗