TechnologyFlagship industry

B2B technology. Answer buyers before the first call.

For software, platform and IT-services companies.

We plan your positioning and build the website, a demo buyers can run themselves and an assistant that answers from your documentation. Procurement gets its security and privacy evidence up front.

Main measure
Qualified pipeline
Where we work in B2B technology
  • SaaS
  • Enterprise software
  • Developer platforms
  • Data & AI platforms
  • Vertical software
Rules mapped
7 rules · 3 areas
Disciplines that lead
BrandAIProduct
Frameworks we build to
SOC 2 — Trust Services CriteriaISO/IEC 27001:2022 — Information security management systemsEU AI Act — Artificial Intelligence Act (EU) 2024/1689OWASP Top 10 for LLM Applications — Security risks in generative AI applicationsGDPR — General Data Protection Regulation (EU) 2016/679DPDP Act 2023 — Digital Personal Data Protection Act, 2023WCAG 2.2 AA — Web Content Accessibility Guidelines
The back of a wall of modular LED display panels, wired with black cables
B2B technologyBehind every screen a buyer sees is wiring they never will.

Where the rules biteMap of all forty-one industries

  • Claims Advertising & claims: Sometimes shapes the work
  • Regulator Sector regulator: Sometimes shapes the work
  • Payments Payments: Sometimes shapes the work
  • Data Personal data: Shapes most of the work
  • Security Security & incidents: Shapes most of the work
  • Access Accessibility: Often shapes the work
  • AI AI governance: Shapes most of the work

What is shifting

The buyer reads everything before your team hears a word.

Committees research through assistants, peers and your documentation, and procurement asks its questions first. Each shift names what it demands, with a fact you can check.

A presenter points to bar charts on a large screen while colleagues watch from the table
The buying committee meets long after it has done its research.
  1. Buying committees research through AI assistants and peer communities before talking to sales.

    What it requiresPositioning that sets the product apart in a crowded category.

    EvidenceAI assistants now summarise vendors, reviews and documentation on request.

  2. Procurement asks for security, privacy and accessibility evidence up front.

    What it requiresA site and product experience that answer the questions sales keeps repeating.

    EvidenceSOC 2 reports and ISO/IEC 27001 certificates are standard asks in enterprise security reviews.

  3. Software products now add AI features and have to explain and govern them.

    What it requiresAI features that are evaluated, governed and safe to demo.

    EvidenceEU AI Act transparency duties for AI that talks to people apply from 2 August 2026.

  4. Customers can now leave a cloud service on two months’ notice.

    What it requiresExport and exit paths designed into the product from the start.

    EvidenceThe EU Data Act’s switching rules have applied since 12 September 2025.

The rulebook

Procurement reads the rulebook before it reads the deck.

The security attestations, AI rules and data duties enterprise buyers ask about, read for a typical software programme. Your counsel and auditors keep sign-off; we build the evidence they will look for.

Frameworks we build to

  • SOC 2 — Trust Services Criteria
  • ISO/IEC 27001:2022 — Information security management systems
  • EU AI Act — Artificial Intelligence Act (EU) 2024/1689
  • OWASP Top 10 for LLM Applications — Security risks in generative AI applications
  • GDPR — General Data Protection Regulation (EU) 2016/679
  • DPDP Act 2023 — Digital Personal Data Protection Act, 2023
  • WCAG 2.2 AA — Web Content Accessibility Guidelines

We design and build to these frameworks; this is not a claim of certification.

Personal data

Shapes most of the work

  1. European Union · Government of India

    GDPR and DPDP Act

    Data-processing terms, consent and cross-border transfer for customer data.

    We designProcessing records and sub-processor lists are kept up to date alongside the product.

    Regulation (EU) 2016/679 · DPDP Act, 2023

  2. European Union

    EU Data Act switching rules

    Cloud and SaaS customers may switch providers on at most two months’ notice with their data exportable; switching charges end on 12 January 2027.

    We designExport and exit paths are designed into the product and documented in the contract.

    Regulation (EU) 2023/2854, applicable from 12 September 2025 Official text: EU Data Act switching rules

Security & incidents

Shapes most of the work

  1. AICPA · ISO/IEC

    SOC 2 and ISO/IEC 27001

    The security evidence buyers ask for. We support your audit; reports and certificates come from independent auditors.

    We designControls and their evidence are built into delivery, so your auditor can find them.

    AICPA Trust Services Criteria · ISO/IEC 27001:2022

  2. Indian Computer Emergency Response Team

    CERT-In Directions, 2022

    Service providers in India report cyber incidents within six hours and keep ICT logs for 180 days.

    We designLogging and incident runbooks are delivered with the platform.

    CERT-In · Directions of 28 April 2022 Official text: CERT-In Directions, 2022

AI governance

Shapes most of the work

  1. European Union

    EU AI Act

    Prohibited practices since February 2025; transparency for AI that talks to people from 2 August 2026; high-risk obligations moved to December 2027 by the 2026 Digital Omnibus.

    We designAssistants say they are AI, and each feature’s risk class is documented.

    Regulation (EU) 2024/1689, as amended by the 2026 Digital Omnibus Official text: EU AI Act

  2. OWASP GenAI Security Project

    OWASP Top 10 for LLM Applications

    Prompt injection (LLM01), sensitive information disclosure (LLM02), excessive agency (LLM06) and the other risks we test assistants against.

    We designEvery assistant is red-teamed against the list before release.

    OWASP Top 10 for LLM Applications, 2025 edition Official text: OWASP Top 10 for LLM Applications

  3. ISO/IEC

    ISO/IEC 42001

    An AI management system standard: policy, risk and impact assessment and controls across the AI lifecycle.

    We designAI features are released with the records an AI management system expects.

    ISO/IEC 42001:2023 Official text: ISO/IEC 42001

Compiled 2 October 2026. Our reading of typical programmes, not legal advice. Rules change; your counsel confirms how each one applies to you.

Challenges

Answers before the first meeting, evidence before the shortlist.

What buying committees expect to find for themselves, and what it takes your teams to keep product, site and sales telling one story.

Your customers

  1. Answers before a meeting

    Buyers expect pricing logic, security posture and integrations to be public.

  2. A demo buyers can run

    Buyers want to try the product, and the AI in it, on their own questions.

  3. Evidence for procurement

    Security, privacy and accessibility questionnaires decide the shortlist.

Two people working on code across large monitors in a bright office
Product and engineering tell the story as much as marketing does.

Your operation

  1. One story everywhere

    Without shared messaging and design, product, site and sales materials tell different stories.

  2. AI features to govern

    Every AI feature needs testing, automatic checks and a plain explanation.

  3. Long deals with many buyers

    Each member of a buying committee needs different proof at a different stage.

What we build

Positioning, product and assistants, built as one system.

Product, brand and AI design lead a B2B programme; platform, CRM and content support them. Every line links to the capability that does the work.

Leads Core Supports Share of a typical programme, by role · illustrative
  1. 01

    Brand Design

    Leads

    Positioning, category narrative and a brand system for product and marketing.

  2. 02

    AI Design

    Leads

    Assistants that answer from your documents, with tests, checks and a hand-off to people.

  3. Product UX, onboarding and a design system shared with engineering.

  4. Web platforms, integrations and AI infrastructure.

  5. Lead scoring, routing and account journeys for long buying cycles.

  6. Category content and points of view that AI assistants can cite.

Programmes

Collect the buyers’ questions first, then build what answers them.

The way in gathers the questions buyers put to sales and procurement and shows which ones the site, the product and the documentation already answer. Lengths are typical, never promised.

The way in

Buyer-question and evidence audit

We collect the questions buyers put to sales and procurement, then show which ones the site, the product and the documentation already answer.

Package
Sprint · Fixed fee
Typical length
2–3 weeks
It sets
Sales-cycle length, as a baseline
  • Product experience audit
  • AI search visibility (AEO & GEO)

What you get

  • A buyer-question map with the gaps ranked
  • A trust-page outline for procurement
  • Answers to reuse in sales and in an assistant
Start here
  1. 02Project · 8–12 weeks

    Positioning and brand system

    A category story, a messaging hierarchy and a brand system that product and marketing both use.

    MeasureQualified pipeline from organic and AI channels

    Services: Brand foundation & positioning · Brand narrative & messaging · Logo & identity system

    Enquire about Positioning and brand system
  2. 03Milestone · 3–6 months

    Product-led site and demo experience

    A site that answers the technical questions, with an interactive demo buyers can run themselves.

    MeasureTrial-to-paid or demo-to-opportunity rate

    Services: Website · Vision prototype

    Enquire about Product-led site and demo experience
  3. 04Project · 8–12 weeks

    Sales and support assistant

    An assistant grounded in your documentation, red-teamed and measured on an evaluation set before it meets a buyer.

    MeasureAssistant answer accuracy on the evaluation set

    Services: AI knowledge assistant · AI assistant experience design · Brand fidelity evaluation

    Enquire about Sales and support assistant
  4. 05Project · 8–12 weeks

    Design system shared by product and marketing

    Tokens and components shared by product, site and sales materials, so they stay consistent.

    MeasureTime to release a new page or feature

    Services: Design system build · Design tokens & theming

    Enquire about Design system shared by product and marketing

How success is measured

Main measureQualified pipeline

  • Qualified pipeline from organic and AI channels
  • Trial-to-paid or demo-to-opportunity rate
  • Assistant answer accuracy on the evaluation set
  • Sales-cycle length

AI, under the rules

An assistant that answers like your best engineer, and says when it does not know.

Every assistant is grounded in your documentation, red-teamed against the OWASP list and measured on an evaluation set before it meets a buyer.

Use case 01

Sales and support assistant

Measured byAnswer accuracy on the evaluation set

Tested forOWASP LLM01 · Prompt injection

agent / sales-and-support-assistant Guarded
  1. TaskAnswers technical and commercial questions from the docs, the trust page and the release notes.
  2. CheckCites a source for every answer, says “I don’t know” rather than guessing, and makes no roadmap promises.
  3. ApproverPricing and contract questions route to a person.
  4. LogQuestions, sources and unanswered gaps go to the docs team.

Goes live only with its evaluation set, automatic checks and a named owner

Use case 02

Security questionnaire drafting

Measured byDays to return a questionnaire

Tested forOWASP LLM02 · Sensitive information disclosure

agent / security-questionnaire-drafting Guarded
  1. TaskDrafts answers to security and privacy questionnaires from approved policies and evidence.
  2. CheckUses approved answers only and flags every question that has none.
  3. ApproverThe security lead approves every submission.
  4. LogEach answer tied to the policy version it came from.

Goes live only with its evaluation set, automatic checks and a named owner

Use case 03

In-product AI features

Measured byEvaluation pass rate per release

Tested forOWASP LLM06 · Excessive agency

agent / in-product-ai-features Guarded
  1. TaskBuilds the product’s own AI features, such as summaries, search and agents, with an evaluation set.
  2. CheckRed-teamed before release; tools limited to what each task needs.
  3. ApproverThe product owner approves any release that changes behaviour.
  4. LogEvaluations run on every release and are kept with the build.

Goes live only with its evaluation set, automatic checks and a named owner

A deliverable, in working code

Clear a security review one answer at a time.

An enterprise security questionnaire in progress. Mark answers as ready and the tracker recounts what is still open before you can submit. Illustrative items.

Security review trackerIllustrative

Enterprise security questionnaire · in progress

Answers ready4 / 7 answered
  • AnsweredSSO (SAML / OIDC) and SCIMAnswered from the identity runbook
  • AnsweredData-processing agreementSigned template on the trust page
  • AnsweredData residency · India regionHosting map attached
  • AnsweredAI: no training on customer dataPolicy and model card linked
  • In progressPenetration-test summaryAwaiting the tester’s letter
  • In progressSub-processor listTwo vendors to confirm
  • To doAccessibility conformance reportScheduled after the WCAG audit

What it shows

An illustrative enterprise security review: SSO, the data-processing agreement, data residency and AI data use are answered; the penetration-test summary and sub-processor list are in progress; an accessibility report is still to do. Mark answers as ready and the tracker recounts what is open.

Figures

Every number here is illustrative and shows how the deliverable reads; none is a client result.

Work and insights

Pipeline, demos and assistants, anonymised.

B2B projects, anonymised until each client approves the write-up, and what we have written on evaluations and automatic checks.

All work in B2B technology

A typical programme · composite

A software company launched a product experience and an assistant that answers the questions sales kept repeating.

Anonymised and illustrative: the shape a programme takes, never a named client.

Questions

What product, marketing and security leads ask us first.

Something else on your mind? Ask us directly

Q.01Do you help with SOC 2 or ISO 27001?

Yes, we prepare the evidence your auditor asks for. We build systems and documentation that support the audit; the report or certificate itself comes from an independent auditor.

Q.02Can our assistant be safe to demo to enterprise buyers?

Yes. It is evaluated on your buyers’ questions, red-teamed against the OWASP Top 10 for LLM Applications and limited to the tools it needs.

Q.03Does the EU AI Act apply to us?

If your product serves people in the EU, parts of it may. We document each feature’s risk class and build the transparency it needs; your counsel confirms the legal position.

Q.04Do you work alongside our product and engineering teams?

Yes. The design system and front-end code are shared with your engineers, and our squads can join your sprints.

Tell us what you need built.

You will speak to a lead who would run the work, and get a straight answer on fit.

Book a call

Three ways to start

  1. 01About 2 minutes

    A quick question

    You get A reply from a named lead

  2. 02About 8 minutesRecommended

    A project brief

    You get Options and a first scope after one call

  3. 03About 15 minutes

    A formal RFQ or RFP

    You get Receipt confirmed and a named bid lead

Every engagement starts with a written scope and a quote agreed before work begins. How each package is priced