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Technology Consulting

Frame the hard problem. Architect the answer.

Strategy, architecture and technical leadership from people who also build. We find where technology creates real operating leverage, design the system, and stay accountable until it runs.

  • Problem framing and discovery
  • AI strategy and readiness
  • System architecture
  • Technical due diligence
  • Fractional technical leadership
  • Delivery recovery
Bring us the problem↗

01Point of view

Most hard problems are not technology problems. Not until someone frames them. Then we find the leverage, architect the system and stay until it runs.

02Framing

First, we interrogate the brief.

Brief as received

“We need AI.”

Assumptions we strike out:

  • A chatbot is the product
  • We need our own model
  • The data is ready
  • This is an IT project

Questions we ask first

  1. Q.01For which decision, exactly?
  2. Q.02Who does this work today, and what does it cost them?
  3. Q.03What happens when it is wrong?
  4. Q.04What data exists, and who owns it?
  5. Q.05How will we know it worked?

Sharpened brief · illustrative example

Cut claims triage from days to hours, with a person approving every payout above a set threshold.

  • MetricMedian time to triage
  • BaselineMeasured in week one
  • GuardrailHuman approval above threshold
  • OwnerClaims operations lead

Now it is an engineering problem.

03Capabilities

Six disciplines. Issued for build.

Strategy, architecture and technical leadership from people who also build. Every sheet ends in something an engineering team can start on, not a slide that sits on a shelf.

Problem framing and discovery

We turn a vague ambition into a problem worth solving: a decision, workflow or experience with an owner, a baseline and a measurable outcome.

Deliverables

  • Stakeholder and workflow interviews
  • Opportunity map and problem statement
  • Success metrics and a measured baseline
  • A discovery prototype where it settles the question

You need this when

“Everyone agrees something must change. Nobody agrees on what.”

Project
Your hard problem
Discipline
Consulting
Status
Issued for build

04Engagement models

Six ways to start.

Every engagement is scoped to the problem, and these are the shapes we see most. Each one ends with something you can act on, and the option to have the same team build it.

  • Diagnostic sprint

    A sharp read on a messy situation.

    Typically a few weeks

    When to use it

    Something is stuck, expensive or unclear, and you need to know why before you spend more.

    What you get

    • Problem statement with a measurable outcome
    • Map of systems, data and owners
    • Ranked opportunities with rough effort
    • A recommendation you can act on

    How it ends

    With a clear go or no-go on the next move. If it is a build, we can build it.

    → We can build it after

  • AI strategy and readiness

    Where AI pays, and what has to be true first.

    Typically a few weeks

    When to use it

    Leadership wants AI and needs to know where it creates value, what it risks and what to fix first.

    What you get

    • Use-case portfolio ranked by value and feasibility
    • Data, platform and governance readiness
    • Model and inference cost options
    • A pilot design with evaluation criteria

    How it ends

    With a pilot scoped tightly enough to prove or kill quickly, and a team ready to run it.

    → We can build it after

  • Architecture and roadmap

    The system, drawn before it is built.

    Scoped to the system

    When to use it

    You are about to build or rebuild something that has to last, scale or integrate with a lot.

    What you get

    • Target architecture in C4 views
    • Architecture decision records
    • Sequenced roadmap with exit criteria
    • Build, buy and partner calls

    How it ends

    With a plan your own team, or ours, can start on the following Monday.

    → We can build it after

  • Technical due diligence

    What is really behind the demo.

    Fits the deal timeline

    When to use it

    You are investing in, acquiring or partnering with a technology business and need an independent view.

    What you get

    • Codebase and architecture review
    • Security, scalability and delivery risk
    • Team and process assessment
    • Findings ranked by severity and cost to fix

    How it ends

    With a written view and the questions to ask before you sign.

    → We can build it after

  • Fractional technical leadership

    A CTO or architect, part-time, fully accountable.

    Ongoing, part-time

    When to use it

    You need senior technical judgement now, before you are ready to hire for it.

    What you get

    • A fractional CTO or principal architect
    • Technical strategy and hiring plan
    • Vendor and architecture oversight
    • An engineering quality bar

    How it ends

    With a handover to a permanent leader, ideally one we helped you hire.

    → We can build it after

  • Delivery recovery

    Late, over budget, losing trust. Reset.

    Starts with a health check

    When to use it

    A programme is slipping and pushing harder is not working.

    What you get

    • Independent delivery health check
    • Re-baselined scope and plan
    • Fixes to architecture, process or team shape
    • Hands-on recovery engineers if needed

    How it ends

    Back on a plan people believe, with our engineers alongside if it helps.

    → We can build it after

Durations depend on the problem. We agree scope before we start.

05Deliverables

Decisions, not decks.

Every engagement leaves a written trail your team can build from: decisions with their reasoning, a sequenced plan, owned risks and real numbers. No slideware hand-off. If you want it built, the people who wrote it stay on.
Engagement record · Example

  1. Architecture decision record

    Event-driven core over point-to-point integrations.

    Context: every new channel needs its own integration to every core system. Decision: publish domain events from one core and let consumers subscribe. Consequence: more platform work up front, far cheaper change after.

  2. Target architecture

    C4 views from context down to component.

    Agents, services, data and identity drawn as one system, with the targets each part must meet for latency, scale, resilience and cost.

  3. Roadmap

    Now, next, later. Each phase with exit criteria.

    Sequenced so the riskiest assumption is tested first. Every phase ends in something running, not a report.

  4. Build, buy, partner

    Build the triage agent. Buy identity. Partner on payments.

    Each call written down with the reasoning, the alternatives we rejected and the conditions that would change our mind.

  5. Risk register

    Model vendor lock-in. Owner named.

    Mitigation: a model gateway and a portable evaluation suite, so switching providers is a configuration change, not a rewrite.

  6. Cost model

    Run cost per transaction, in ranges.

    Build, run and inference costs modelled with ranges and sensitivities, not a single hopeful number.

Illustrative entries. Real records are written for your system and stay with your team.

06Domains

Where we advise.

Five domains where the stakes are operational: money moving, people's health, physical output, and the experiences people return to every day.

  • Commerce and Finance

    Marketplaces, bookings, payments, fintech, and the trust and verification layer around every transaction.

  • Digital Experience, Media and Growth

    Brand experiences, content and media platforms, streaming and publishing, community, engagement, and the growth systems that acquire and keep users.

  • Health, Care and Wellbeing

    Care access, monitoring, coaching, fitness and wellbeing: systems people rely on for their health.

  • Operations, Industry and Logistics

    Manufacturing, inventory, supply chains, fleets and field operations: the software that runs physical output.

  • Physical and Connected Environments

    Property and the built environment, mobility, IoT and wearables, and safety and emergency response.

07Methods

Methods in the toolkit

Representative, not a fixed playbook. The problem picks the method.

  • Event storming✕
  • Wardley mapping✕
  • C4 models✕
  • Architecture decision records✕
  • Threat modelling✕
  • TCO models✕
  • Discovery sprints✕
  • Service blueprints✕
  • Domain-driven design
  • Value stream mapping
  • Jobs to be done
  • Fitness functions
  • DORA metrics
  • Evaluation harnesses
  • Team topologies
  • Pre-mortems
  • Working prototypes

08FAQ

Questions, answered.

Something else on your mind? Write to hey@asymmetri.in.

  • Asymmetri's consultants are architects and engineers who also build. Advice is shaped by what it takes to ship and run the system, so recommendations arrive as architecture, decision records and a sequenced plan a team can execute, not a slide deck. The same team can stay on to build it, which keeps everyone accountable for whether the advice works in production.

  • Yes. Asymmetri is a technology company that engineers AI systems, agents and digital products, so a consulting engagement can move straight into design and engineering with the same people. It is never a condition: every engagement ends with deliverables your own team or another partner can act on.

  • It starts with framing: which decisions or workflows AI should change and how success will be measured. Asymmetri then assesses data, platform and governance readiness, ranks use cases by value and feasibility, models inference costs and designs a tightly scoped pilot with evaluation criteria. The work is AI-native from the first workshop, using working prototypes where they settle a question faster than debate.

  • Yes. Technical due diligence and delivery health checks review code, architecture, security, delivery process and team shape, then rank findings by severity and cost to fix. They suit investors, acquirers and leaders who have inherited a platform or a struggling programme and need an independent view.

  • Send a short note about the problem through the contact page or email hey@asymmetri.in. The first step is a framing conversation. From there Asymmetri proposes the right shape of engagement, often a diagnostic sprint that typically runs a few weeks, before anything larger is committed.

09Next practice

Innovation and R&D↗

What is next, engineered into what ships.

Bring us the hard problem. We'll find the asymmetric answer.

Get in touch ↗Join our team