Mizan is a governed AI agent for design and engineering consultancies. It reads your own delivery, cost and capacity data, measures every figure to a written definition, investigates what is wrong on its own, then proves it before you ever see it.
Every one is proved before it reaches you. A finding that the Verifier cannot stand up is never shown — it is not softened, it is withheld.
Delivery systems record hours. Finance systems record cost. Between them sit the things neither one owns — and a wrong figure looks exactly like a right one.
Moves every figure survives before it reaches you
Kinds of problem the agent hunts for on its own
Field classes permissions are granted by
Figures shown without the source rows behind them
Mizan proposes; you decide. It assembles a claim, drafts a message or prepares an action, but never sends, approves or moves money by itself.
Every figure computed to a written, versioned definition — never invented at answer time.
A governed agent hunts for what is wrong: fourteen kinds, from unbilled fee to overload.
An adversarial Verifier proves each finding — provenance, recompute, policy, fairness.
A named person reviews, sends and approves. Every number traces to its source.
Four capabilities that find the money and the risk before the accounts do.
The problem it solvesBy the time a loss shows up in the accounts it is too late to fix. Mizan surfaces it early and warns you before it costs you, not after.
The problem it solvesRework from a client change that never became a variation is money you already earned. Mizan finds it and assembles the claim; you send it.
The problem it solvesTwo people absorb every emergency and burn out while others sit under-used. Mizan shows both, as a resourcing pattern, never a performance score.
The problem it solvesA trustworthy figure usually means chasing spreadsheets and a query language nobody learns. A number with nothing behind it is flagged, not shown.
Mizan is the record itself, not a dashboard bolted onto one — and every row is filtered in the query, never greyed out in the browser.
The problem it solvesRead-only dashboards drift from reality. Mizan is the record itself, so the numbers are the work, not a stale copy.
The problem it solvesYour budget and the ERP's cost live in different systems, and overdue invoices slip. Mizan reconciles them without hiding the seam.
The problem it solvesWhen a live project needs a skill only one person holds, that is a single point of failure nobody flagged. Mizan surfaces it from what the open tasks need.
The problem it solvesCommercial terms and salaries leak when permissions are cosmetic. Mizan filters every row in the query and proves each finding before you see it.
A project’s on-time, on-budget result flows down to its tasks. Each task carries its share as a weight and credits the people who worked it by their hours. Evidence, not a popularity contest.
Consistently high weighted contribution on work that landed on time and on budget. Surfaced so you can recognise and reward on evidence, not impression.
Weighted contribution running low, or concentrated on slipping tasks. Surfaced early so you can coach, rebalance or unblock before it costs a project.
Connect SharePoint, an ERP, Odoo, a DMS or a database as governed sources — then use Claude, ChatGPT or any MCP tool on that data under a per-user token.
We train the models on your own historical projects, so Mizan compares each live job against similar past ones and alerts you before a slip happens. Pre-warnings on cost, schedule and margin, while there is still time to act.
Mizan drafts proposals and enriches them from the bids that won — your proven scope language, pricing and structure — so every new bid starts from what already works instead of a blank page.
Because your agent is custom, we build the functions your firm actually needs, from claim assembly to report and document generation, wired into your workflow and your governance.
Four stages, worked in agile sprints, so you see value early and steer the build as it grows. Because the agent is configured to your methodology, it reflects your practice from the first sprint.
Assessment and gap analysis, plus a data-readiness review: what you have, where it lives, its quality, and what is missing before an agent can trust it.
We design the workflows, the dashboards and the reports around how your firm actually works, not a generic template.
We pin down what the agent should do: your pain points, what is costing you time, and exactly which tasks are worth automating.
We implement in short agile sprints, shipping working capability early and refining it with your team, sprint by sprint, to go-live.
Permissions are granted by field class and they accumulate. Revoking one removes the data, not just the view.
