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Practice

Public Sector

A dedicated practice for government agencies and public institutions. We combine policy fluency, procurement awareness, and the technical depth required to deliver modern, accountable digital services.

Practice

Built for institutions that have to keep running.

Public-sector work has obligations a market system does not. To oversight, to procurement, to continuity, and to the people at the receiving end of the service. We work inside those obligations, not around them. The standard is a system the institution can operate and defend without us in the room.

Capabilities

What the practice covers.

Six capabilities, practiced together. Engagements draw on whichever combination the program in front of the agency requires.

  • 01

    Digital modernization strategy

    Modernization roadmaps for agencies and public institutions. The work of choosing which systems to retire, which to renovate, which to replace, and which to leave alone, in a sequence the organization can deliver across multiple budget cycles.

    The output is a defensible sequence with named owners, dependencies, and decision points an executive sponsor can stand behind. The roadmap is built to survive a change in leadership.

  • 02

    AI capability and responsible-use policy

    Practical AI capability for environments under oversight. The work of framing where AI is genuinely useful, where it is too immature to depend on, and the controls that let an institution adopt AI without surrendering accountability for outcomes.

    We work with leadership on the small number of places AI changes the unit economics of the work, on the governance that makes adoption defensible, and on the documentation procurement and oversight bodies will ask for. The broader posture is on the responsible AI page.

  • 03

    Citizen-facing platforms and services

    Public-facing services designed for the people who depend on them, not only the agency that delivers them. Information architecture, transaction flows, accessibility, content patterns, and the operational considerations that decide whether a service is usable on the day someone needs it.

    We design against real workflows on real devices, with the people who actually use the service. Pilots and limited releases come before wide launches.

  • 04

    Secure systems architecture

    Architecture for systems that have to meet the security obligations of the institution and the realities of multi-vendor environments. We design system boundaries, data flows, integration patterns, and operational interfaces with the security and audit teams in the room from the start.

    The standard is a system the agency can defend in writing: documented, monitorable, and inspectable, not only deployed.

  • 05

    Cross-agency interoperability

    Most public systems are not isolated. We work on integration patterns, identity, eligibility, and data-sharing arrangements between agencies and between systems of record. The aim is interoperability that holds up under legal, security, and operational review.

    Where shared infrastructure is the right answer, we help design it. Where it is not, we are clear about why.

  • 06

    Procurement strategy and delivery

    Procurement determines how the work can be done, who can do it, how it can be paid for, and how it can be reviewed when something goes wrong. We work with leadership on procurement strategies that match the actual shape of the work: framework agreements where they help, fixed-scope phases where they protect both sides, and decisions about where to use vendors and where to build internal capability.

    We produce the artifacts procurement bodies expect: technical responses, security and privacy documentation, accessibility statements, data-flow descriptions, and the change records that let oversight inspect what was decided and why.

Modernization realities

Inside institutions that have to keep running.

Public-sector modernization is bounded by something most enterprise work is not. The system being replaced is also serving real people on the day the new one ships. Cutover windows are measured in weeks, not seconds. Parallel operation is the default, not the exception. Rollback paths are part of the procurement contract.

We design modernization in phases that each ship value while the previous system continues to operate. The first phase is rarely a greenfield build. It is usually the integration seam, the data pipeline, or the operational tooling that makes the next phase possible.

The standard is continuity. A modernization that takes a public service offline, even briefly, has failed the test that matters most to the people who depend on it.

Procurement and delivery

Procurement is part of the system, not a precondition to it.

Procurement determines how the work can be done, who can do it, how it can be paid for, and how it can be reviewed when something goes wrong. We treat procurement as a design constraint, not as paperwork that happens before the work begins.

We staff senior people across the proposal, the design, and the delivery, so the team that scoped the work is the team that does it. The artifacts an agency needs to evaluate, award, and oversee the engagement are produced by the same people who will deliver against them.

We do not run bidding factories. We work with leadership on procurement strategies that match the actual shape of the work, including the difficult call of when to build internal capability rather than buy more of ours.

AI in regulated contexts

AI inside public obligation.

AI systems in regulated and public-sector environments are accountable to a wider set of obligations than private systems. They have to be inspectable by oversight bodies, defensible to the people whose lives they affect, and reproducible enough that a decision made today can be explained next year.

We scope AI engagements around those obligations from the start. Evaluation, monitoring, change records, and human-review pathways are designed in alongside the build. We commit to producing the documentation procurement, security, and oversight need to do their work.

The broader posture is on the responsible AI page. Public-sector engagements operate inside that posture by default.

Public trust

Built operationally, not declared.

Public trust in a digital service is the cumulative result of operating decisions. How reliably the system runs on a Tuesday afternoon. How clearly it explains itself when something goes wrong. How quickly issues that affect real people are fixed. How honestly the agency communicates when a fix is going to take longer than the user would prefer.

We design and document for the team that will operate the service after we leave. Runbooks, incident response patterns, monitoring, accessibility checks, and the channels through which the public can report issues are produced alongside the system, not after it.

The reward, when we get it right, is a service the agency can run with the workforce it has, defended by the documentation it owns, inspectable by the bodies it answers to.

Start a conversation

Bring us the modernization in front of you.

Most engagements begin with a short conversation. Tell us the system, the obligations, and the timeline. We will tell you whether we are the right people for the work.