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.
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.
First, we interrogate the brief.
We need AI.
- For which decision, exactly?
- Who does this work today, and what does it cost them?
- What happens when it is wrong?
- What data exists, and who owns it?
- How will we know it worked?
- A chatbot is the product
- We need our own model
- The data is ready
- This is an IT project
02Sharpened brief · illustrative example
Now it is an engineering problem.
Cut claims triage from days to hours, with a person approving every payout above a set threshold.
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 discoveryWe turn a vague ambition into a problem worth solving: a decision, workflow or experience with an owner, a baseline and a measurable outcome.
- AI strategy and readinessWhere AI earns its place in your operation, and what has to be true first: data, platform, people and governance. AI-native from the first workshop.
- System architectureTarget architectures that survive contact with production. Integration, data, security and AI components designed as one system, by people who will happily build it.
- Technical due diligenceAn independent read of a codebase, platform or team, for investors, acquirers and leaders who need the truth before they commit.
- Fractional technical leadershipA senior architect or CTO embedded part-time: setting direction, making the calls and building the team that takes over.
- Delivery recoveryWhen a programme is slipping, we find out why, reset the plan and, where it helps, put our engineers on it until it runs.
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 sprintA sharp read on a messy situation. Something is stuck, expensive or unclear, and you need to know why before you spend more.
- AI strategy and readinessWhere AI pays, and what has to be true first. Leadership wants AI and needs to know where it creates value, what it risks and what to fix first.
- Architecture and roadmapThe system, drawn before it is built. You are about to build or rebuild something that has to last, scale or integrate with a lot.
- Technical due diligenceWhat is really behind the demo. You are investing in, acquiring or partnering with a technology business and need an independent view.
- Fractional technical leadershipA CTO or architect, part-time, fully accountable. You need senior technical judgement now, before you are ready to hire for it.
- Delivery recoveryLate, over budget, losing trust. Reset. A programme is slipping and pushing harder is not working.
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.
- Architecture decision recordEvent-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.
- Target architectureC4 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.
- RoadmapNow, next, later. Each phase with exit criteria. Sequenced so the riskiest assumption is tested first. Every phase ends in something running, not a report.
- Build, buy, partnerBuild 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.
- Risk registerModel vendor lock-in. Owner named. Mitigation: a model gateway and a portable evaluation suite, so switching providers is a configuration change, not a rewrite.
- Cost modelRun cost per transaction, in ranges. Build, run and inference costs modelled with ranges and sensitivities, not a single hopeful number.
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 FinanceMarketplaces, bookings, payments, fintech, and the trust and verification layer around every transaction.
- Digital Experience, Media and GrowthBrand experiences, content and media platforms, streaming and publishing, community, engagement, and the growth systems that acquire and keep users.
- Health, Care and WellbeingCare access, monitoring, coaching, fitness and wellbeing: systems people rely on for their health.
- Operations, Industry and LogisticsManufacturing, inventory, supply chains, fleets and field operations: the software that runs physical output.
- Physical and Connected EnvironmentsProperty and the built environment, mobility, IoT and wearables, and safety and emergency response.
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
Questions, answered.
How is Asymmetri's technology consulting different from a large consultancy?
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.
Does Asymmetri also build what it recommends?
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.
How does an AI strategy engagement with Asymmetri work?
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.
Can Asymmetri assess an existing team, codebase or vendor?
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.
How do we start a technology consulting engagement?
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.
Bring us the hard problem.
We'll find the asymmetric answer.