Social Enterprise ERP Technology that builds capacity

Most small and mid-sized organisations wait until they are big enough to afford good systems. AI has turned that order around: the systems are now how an organisation becomes big enough.

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The capacity trap.

Funders want proof of scale before they will pay for the systems that produce it. So a growing organisation hires people to do what systems should: compiling reports, reconciling accounts, chasing consent forms, onboarding staff. The overhead ratio rises, the next grant gets harder, and the founder becomes the system.

Where organisations get stuck What we build

Two people going through papers at a table

Three walls between small and large.

Every growing organisation hits them in roughly this order. The old way over each wall was more people. That is exactly what makes the next wall higher.

Small to medium. Knowledge, approvals and donor relationships live in one or two heads, a dozen WhatsApp groups and spreadsheets only their makers understand. It works until the team is about thirty people. Then every decision queues behind the same person, and growth slows to the speed of their calendar. Every line runs through one person. What breaks: growth stops at the number of things one or two people can hold in their heads.
Medium. Every funder wants the same story in a different format. Numbers are pulled from field sheets, cleaned, reconciled with accounts and rewritten, every month. The usual answer is to hire an MIS officer, then another. Overhead rises, and funders who pay for programmes but not for overhead start asking why. A programme manager's month: programme work 46%, funder reports 27%, cleaning data 15%, compliance and admin 12%. Five funders, five formats, one team: quarterly in Excel, monthly on a portal, half-yearly as a deck, annually as a logframe, and a PDF for every board meeting. What breaks: the people closest to the work spend a third of their time describing it.
Medium to large. Bigger CSR partners, government departments and global funders ask for audit trails, fund-wise accounts and consent records, and the DPDP Act now makes consent law. Most organisations can do the work. Far fewer can prove it on request, and that is what decides who gets the next, larger grant. What breaks: trust that cannot be shown on request does not count, however real it is.

Social Enterprise ERP products.

Enabling Solutions

Project management for nonprofits: organise teams, volunteers and partners into projects and tasks, with lists, boards, timelines, portfolios, goals and a field app that works offline.

Project Management

Enabling Solutions

Conversational analytics: ask any question about your programmes in plain English and get live reports on learning, livelihoods and more.

Commons Intelligence

Women in a village lane, one carrying a backpack

Enabling Solutions

Surveys for the social sector: build in minutes, collect on web, WhatsApp and an Android app that works offline, check quality as answers arrive.

Surveys

Enabling Solutions

Grant management for grant makers and grant seekers: calls for proposals, AI review, due diligence, milestone tranches and reports, plus an AI proposal writer for nonprofits.

Grant Management

Enabling Solutions

DPDP compliance and consent management for nonprofits: multilingual notices, purpose-wise consent, parental consent, rights requests, data map, retention and breach response.

Commons Trust. DPDP Consent and Compliance System

Colleagues around a long conference table watching a woman present at a screen in a modern office

Enabling Solutions

HR, payroll and an intranet in one place, for nonprofits, startups and enterprises, on the web and mobile, with AI built in.

Commons Workplace

A calculator resting on old ledger sheets filled with columns of figures

Enabling Solutions

We implement Tally, Zoho Books, Frappe / ERPNext and Odoo, connect them to your programmes, payroll and donations, and add a custom screen on top where it helps.

Accounting and Finance

All products

What a large funder's due diligence asks for.

Most organisations can do the work. Far fewer can prove it on request, and that is what decides who gets the next, larger grant.

Where it usually livesThey ask for

MoneyTally, plus an Excel sheetFund-wise utilisation, FCRA kept separate

ConsentPaper forms, some of themConsent for every person's data, under the DPDP Act

OutcomesSurvey exports in a folderOutcomes against the baseline

PeopleA shared driveStaff policies, training and sign-offs

DecisionsEmail threadsWhy each decision was taken

AI changes the arithmetic of capacity. Work that used to need another hire — the report, the reconciliation, the consent record, the induction — can now be done by systems a small team owns. Capacity stops being headcount and becomes infrastructure.

The old order, and the new one.

The old order: grow the team, then afford the systems. The new one: put the systems in first, and let the organisation grow on them, with the people it has doing the work only people can do.

Build the organisation, then the systemsBuild the systems, and the organisation grows on them

Reporting to fundersA programme officer spends two weeks compilingAsked in plain language, answered from live data

AccountsClosed once a month, reconciled at auditReconciled daily, fund by fund, FCRA kept apart

Data protectionA consultant once a year, paper consent formsConsent captured where the data is collected

A new staff memberInducted by whoever has timePolicies, training and answers waiting on day one

What the organisation knowsIn the heads of the people who have been there longestOn one record, searchable, and kept when people leave

Who does the routine workThe next hireAn AI agent, checked by the team

What to put in place, and when.

You do not need every system on day one. Start with the one that removes the wall you are standing at, and add the next when the organisation reaches it. Everything you start with carries forward.

A team of ten to fiftyFifty to three hundredThree hundred and more

Small

Get the work out of heads and onto one record. Put in place: Project Management, Surveys, Accounting and Finance, AI Agents. What it gives back: the founder's time, and an organisation that still works when they are away.

Medium

Stop compiling. Start asking. Put in place: Commons Intelligence, Grant Management, Commons Workplace, Learning Experience Platform. What it gives back: a third of every programme manager's month, and new staff who are useful in weeks, not quarters.

Large

Make trust provable, at scale. Put in place: Commons Trust. DPDP Consent and Compliance System, the Commons Workplace intranet, AI Agents. What it gives back: due diligence answered in a day, and a culture that holds across offices and states.

Social Enterprise ERP. One organisation.

Each works on its own, so you can start with one. Together they share one record of your programmes, people, money and consent, which is what lets an AI agent work across all of it.

Programmes and impactKnow what is happening, and what it is changing.