Questions teams ask before they hire us
Straight answers on web, mobile, AI and digital marketing delivery with Synextai in the UK.
Web Development
Discovery, information architecture, wireframes, high-fidelity UI, interactive prototypes, and a design system handoff ready for engineering.
Yes. Hierarchy, CTAs, trust signals, and form friction are treated as first-class design decisions alongside visual brand.
We often run UX audits and targeted redesigns of key templates first, then phase a broader visual refresh.
Primarily Figma for design and prototyping, with optional FigJam workshops and developer-ready specs or tokens.
Scheduled review cycles with annotated prototypes. Feedback is consolidated so engineering receives a single source of truth.
Colour contrast, focus states, and inclusive patterns are considered during design, then validated during build.
We create reusable components and content guidelines so campaigns and product releases stay visually consistent.
Share current URLs or decks and book a workshop. We return a scoped plan covering pages, journeys, and deliverables.
We deliver WordPress, headless CMS setups, and custom Laravel admin experiences depending on editorial needs and scale.
Editor experience is a primary requirement. We configure roles, blocks, previews, and training so teams publish without developer tickets.
Yes. We map content models, redirect plans, media, and SEO metadata to protect rankings during cutover.
We can architect multisite and localisation workflows when your UK and international teams need shared components.
Hardened hosting patterns, updates, least-privilege roles, and staging environments before production changes.
Yes. We often pair CMS content APIs with modern frontends when performance or multi-channel publishing is required.
Live sessions, short Loom-style walkthroughs, and written runbooks for common publishing tasks.
Many brochure rebuilds land in 6–10 weeks including design alignment, templates, migration, and editor training.
Authenticated products, portals, SaaS features, dashboards, and workflow tools that go beyond marketing pages.
Laravel and modern JavaScript frontends are common defaults. We choose based on team skills, timelines, and integration needs.
MVP slicing, backlog prioritisation, and milestone demos. Change requests are logged transparently against timeline and budget.
Yes. ADRs, API docs, environment diagrams, and onboarding notes ship with production delivery.
Stripe and similar billing flows, seats, plans, and webhooks are routine parts of SaaS engagements.
Automated tests where high risk, peer review, staging UAT, and monitoring hooks before release.
We optimise for readability, conventions, and handover. Pairing sessions during delivery reduce bus factor.
After discovery we provide phased estimates. Many MVPs start with a defined first release, then expand based on usage.
Shopify, WooCommerce, and custom Laravel commerce depending on catalogue complexity, ops needs, and growth plans.
Yes. We audit checkout friction, performance, trust signals, and merchandising UX, then ship iterative experiments.
Payment gateways, fulfilment APIs, and inventory sync are scoped with error handling and reconciliation in mind.
Caching, CDN, queueing, and load testing for campaigns. We plan capacity before major UK retail peaks.
When you need flexible storefronts or multi-channel experiences, we can implement headless architectures.
Subscription products, wholesale pricing, and account-based catalogues can be designed into the storefront.
Faceted navigation rules, product schema, canonical strategy, and crawl budget controls are part of technical SEO delivery.
Simple catalogue launches may take 6–10 weeks. Complex catalogues, ERP sync, and custom checkout flows take longer and are phased.
Mobile App Development
User research synthesis, flow mapping, wireframes, visual UI, interactive prototypes, and a component library for engineering.
Yes. We respect platform conventions while keeping brand consistency across both ecosystems.
Clickable prototypes and structured stakeholder or user walkthroughs reduce expensive rework later.
We diagnose onboarding, empty states, and core loops, then redesign the journeys that drive activation.
Figma specs, spacing tokens, and interaction notes are prepared so engineers implement accurately.
Meaningful micro-interactions can be scoped. We prioritise clarity over decorative motion.
Engagements include agreed review cycles. Extra iterations are estimated openly if scope expands.
Yes. We often complete critical flows first so build can start while secondary screens are refined.
Yes. Native Kotlin is recommended when you need deep Android APIs, performance, or Play-specific capabilities.
We prepare listings, data safety forms, testing tracks, and submission until the app is live.
Targeted device matrices, responsive layouts, and QA on representative screen sizes and Android versions.
Adaptive layouts can be scoped when those form factors matter to your audience.
FCM-based push with segmentation and deep links can be implemented with analytics events.
We assess migration to Kotlin, modularisation, and dependency updates before proposing a roadmap.
Secure storage patterns, certificate pinning where appropriate, and careful handling of tokens and PII.
Many native Android MVPs ship in 8–14 weeks depending on integrations and design readiness.
Yes. Swift and modern Apple frameworks are used for polished native experiences and App Store readiness.
We set up TestFlight cohorts, prepare metadata, and navigate review feedback through approval.
Universal or iPhone-first layouts are scoped based on your users. iPad optimisation can be phased.
Yes, along with other Apple platform capabilities required for a complete product experience.
Profiling startup, scrolling, and network usage early. We avoid shipping features that degrade perceived speed.
We document data collection accurately for App Store privacy disclosures during submission.
After an architecture and dependency audit we can stabilise, refactor, and continue feature delivery.
Typically 8–14 weeks from approved designs to first public release, subject to API readiness.
Both. We recommend the framework that best fits your hiring plan, existing web stack, and performance needs.
When you need cutting-edge native APIs immediately, highly specialised graphics, or separate product roadmaps per OS.
Yes. Shared UI and business logic accelerate parity, with platform-specific modules where required.
With careful design and platform adaptation, cross-platform apps feel native. We avoid lowest-common-denominator UI.
We implement platform-appropriate background strategies and sync conflict handling for field use cases.
No honest team promises 100%. We aim for high reuse while isolating OS-specific plugins cleanly.
Yes. Modular boundaries make selective native modules or future rewrites less painful.
A short technical discovery weighs team skills, libraries, hiring, and roadmap risk before kickoff.
AI Solutions
Use-case design, model selection, prompt systems, tool calling, safety controls, and product UI wired into your workflows.
Leading commercial APIs and private deployments where needed. Choice is driven by quality, cost, latency, and data policy.
Grounding with retrieval, constrained outputs, citation UX, and escalation when confidence is low.
Yes via carefully scoped tools with auth checks, confirmation steps, and audit logs for sensitive actions.
Caching, smaller models for routing, token budgets, and monitoring that alerts on spend anomalies.
Tenant isolation, per-workspace knowledge, and role-aware prompts are designed into the architecture.
Golden datasets, regression checks on prompt changes, and human review loops for high-risk answers.
Many teams see a controlled prototype in 2–4 weeks before production hardening.
Inbound call containment, appointment booking, FAQ agents, and internal voice workflows with clear handoff to humans.
We tune prompts, turn-taking, and speech providers for clarity. Naturalness is balanced with accuracy and latency.
Yes. Call outcomes, transcripts, and tickets can sync to HubSpot, Salesforce, Zendesk, and similar systems.
Defined escalation to human agents with context transfer so callers are not looped endlessly.
UK accents and disclosure patterns can be configured. Call recording and consent flows follow your policy requirements.
Containment rate, average handle time, CSAT proxies, and accurate task completion against evaluation scripts.
Best for structured intents first. Complex troubleshooting can be phased after high-confidence paths perform well.
Focused pilots often run 3–6 weeks including script design, integration, and live supervised testing.
Forecasting, churn risk, lead scoring, demand planning, and operational anomaly detection tailored to your data.
No. We can stand up pipelines and models while upskilling your analysts on monitoring and feature ownership.
Data profiling, cleaning rules, and feature stores where useful. We are honest when data quality blocks accuracy.
Yes. Training and inference can live in your AWS, Azure, or GCP accounts with your security controls.
Schedules depend on drift. We set monitoring so retraining is triggered by performance, not a fixed guess.
Scores and explanations can be exposed via APIs into dashboards, CRM, or in-app experiences.
Feature importance summaries, example cases, and business-readable reports accompany technical metrics.
A validated baseline model on historical data with clear lift versus current rules, then a production path.
Retrieval-Augmented Generation grounds LLM answers in your approved documents so responses stay current and auditable.
PDFs, Notion, Confluence, SharePoint, websites, tickets, and structured databases with appropriate connectors.
Document ACLs, tenant filters, and query-time authorisation ensure users only retrieve what they may see.
Yes when useful. Source snippets help users trust and verify answers quickly.
Incremental sync jobs and webhook updates keep indexes fresh without full reprocessing every time.
Architecture can target private models and VPC deployments when policy requires it.
Chunking, metadata, and retrieval ranking matter as much as the model. We iterate on those layers first.
Pick a high-value corpus and question set. We prototype retrieval quality before investing in full product polish.
Digital Marketing
Keyword clustering, service page optimisation, technical SEO, content calendars, and internal linking for UK hire-intent demand.
No. We prioritise commercial intent and winnable difficulty, especially early while domain authority grows.
Yes when structure, titles, FAQs, or copy block rankings. Changes align with nested service URL architecture.
Each article maps to a cluster that supports a money page. Orphan posts and thin content are avoided.
Crawl issues, indexation, Core Web Vitals collaboration, schema, and sitemap hygiene with engineering.
Rank tracking for priority terms, organic conversions or leads, and content performance against the plan.
City and regional pages are used carefully when intent and operational coverage justify them.
Technical and on-page wins can appear within weeks. Competitive terms typically need sustained months of compounding.
Primarily LinkedIn for UK B2B pipeline, with supporting channels where your buyers actually spend time.
We plan, write, design, and schedule within an agreed brand voice, tied to campaigns and offers.
UTMs, landing pages, and CRM-aware CTAs connect social activity to enquiries, not just impressions.
Community management can be included with escalation rules for sales and support questions.
Yes. Organic and paid can share creative systems while budgets stay accountable to CPA targets.
Cadence depends on capacity and goals. Consistency beats bursts that cannot be sustained.
Launch calendars, waitlists, and feature announcements are planned with product and SEO teams.
Brand assets, positioning, proof points, and access to analytics. We then propose a 90-day content system.
Google Ads search and performance campaigns are core, with complementary paid social where it supports pipeline.
Tight intent mapping, negative keywords, landing relevance, and weekly pruning of underperforming queries.
When Quality Score or conversion suffers, we can ship focused landing experiences with engineering.
Qualified leads, CPA, and pipeline value. Click volume alone is not treated as success.
Yes. We audit structure, tracking, and creative, then rebuild or refine without unnecessary disruption.
We verify tags, consent mode needs, and CRM offline conversions where available for better bidding signals.
Budgets depend on CPC in your niches. We recommend a test budget that can reach statistical learning thresholds.
Typical cadence is weekly optimisation with a monthly strategy review against pipeline outcomes.
Service page copy, UK SEO articles, comparison guides, case study narratives, and email or landing assets.
Briefs are built with subject-matter input from engineers and marketers so copy stays accurate and commercial.
Yes. Spelling, tone, and examples are localised for UK readers unless you request otherwise.
Specific proof, original outlines, and editorial review. AI may assist research, but publishing standards stay human-led.
One-pagers, objection-handling blogs, and ROI explainers can be planned alongside SEO needs.
Structured feedback rounds on outline then draft. Scope for extra revisions is agreed up front.
Yes when access is provided. Formatting, internal links, and metadata are applied before publish.
Rankings, engagement, assisted conversions, and sales feedback loops inform the next brief batch.
General
Synextai delivers web development, mobile app development, AI solutions, and digital marketing under one UK based team. That includes custom websites, CMS and e-commerce platforms, iOS and Android apps, generative and voice AI, plus SEO and growth campaigns tied to the products we build.
We cover Website UI/UX, CMS platforms, custom web applications, and e-commerce. Engagements can be fixed-scope launches, product team extensions, or ongoing optimisation retainers.
It depends on roadmap, device APIs, and team skills. We recommend Flutter or React Native when shared code accelerates delivery, and native Swift/Kotlin when platform depth or performance is critical.
Generative AI copilots, RAG over private knowledge, voice agents, and custom predictive models. We start from a commercial use case, not a model preference.
SEO and content strategy, social media marketing, PPC and paid media, and content writing. Channels are planned together so they reinforce the same pipeline goals.
Most MVPs and focused product releases land in 8 to 16 weeks, depending on scope, integrations, and compliance needs. Larger platforms are delivered in clear phases with two week sprints, staging demos, and milestones you can track from day one.
Marketing sites often ship in 4–8 weeks. CMS rebuilds and mid-size custom apps usually take 8–16 weeks. Complex platforms are planned in phased milestones so you see value early.
A focused MVP commonly lands in 8–14 weeks including design, build, QA, and store submission. Broader feature sets are phased so you can validate with real users sooner.
Retrieval boundaries, prompt controls, evaluation sets, logging, and human escalation paths. Hallucination risk is treated as a product requirement, not a surprise.
Yes. Keyword research, creative, and landing pages are oriented to UK spelling, cities, and commercial intent. International expansion can be layered when needed.
Yes. After go live we offer monitoring, security updates, bug fixes, performance tuning, and feature enhancements. Many clients keep us as a long term engineering partner so the product stays healthy as usage and requirements grow.
Yes. We adopt your design tokens and Figma libraries where they exist, or create a lightweight system that matches your brand while staying implementation-friendly.
Yes. We prepare listings, privacy disclosures, screenshots, and review responses, and we stay available for policy feedback until approval.
Yes. We design ingestion, chunking, access control, and refresh jobs around your repositories, CRM, or knowledge base with tenancy and auditability in mind.
We map clusters to category hubs and leaf service URLs, then strengthen internal links, FAQs, and supporting blogs so authority compounds on money pages.
Pricing depends on scope, timeline, and the team mix you need. After a free consultation we share a written proposal with assumptions, milestones, and options for fixed scope or dedicated team engagement. No vague ballpark without context.
Performance, semantic structure, metadata, and schema are part of delivery. We validate Lighthouse and crawlability before go-live, then hand over a short SEO checklist for content owners.
We instrument activation, retention, and key funnels from the first release. Crash reporting and release notes are standard so product decisions are evidence-led.
Either. We support AWS, Azure, GCP, and selected managed LLM providers, matching your security review and cost targets.
Weekly or fortnightly scorecards covering rankings, traffic quality, pipeline proxies, CPA, and creative tests. Vanity metrics alone are not the goal.
Absolutely. We often embed alongside in house teams as a delivery partner or specialist extension for AI, mobile, or platform work. You keep ownership of the roadmap and codebase while we accelerate delivery with senior engineers.
We regularly connect Stripe, HubSpot, Salesforce, ERPs, and custom APIs. Integrations are scoped with auth, error handling, and monitoring so they remain maintainable.
We run a structured audit covering architecture, dependencies, store compliance, and technical debt, then propose stabilisation and feature roadmaps.
Upfront KPIs such as deflection rate, time saved, conversion lift, or forecast accuracy. Dashboards and eval scores ship with the feature.
Absolutely. We embed as specialists for SEO, paid, or content while your team keeps brand ownership and stakeholder management.
Book a free consultation, share your goals and any existing docs, and we will map a practical next step. Within one business day you get clear advice on approach, timeline, and whether we are the right fit before any commitment.
You own the repositories, environments, and production assets. We prefer transparent handover with docs, runbooks, and optional support retainers rather than lock-in hosting.
Offline-first patterns, sync strategies, and push journeys are designed around your use case. We avoid fragile caches that break when connectivity returns.
Often yes with the right controls: private retrieval, redaction, role-based access, and review workflows. We flag where a rules engine or human approval is safer.
Paid media can validate messaging within weeks. Organic SEO typically compounds over 1–3 months for low-competition terms and longer for competitive heads.
We design toward WCAG-aware patterns and can align with GDPR expectations for forms, cookies, and data flows. Regulated projects get extra review on auth and audit trails.
Optional retainers cover OS updates, dependency bumps, hotfix response, and iterative feature work. SLAs can be tailored to your release cadence.
Workflow mapping, data readiness, risk review, prototype criteria, and a build/no-build recommendation with estimated cost of inference and maintenance.
When conversion or relevance blocks growth, yes. Synextai can ship landing and service page improvements because marketing and engineering sit in one studio.
Book a consultation. We clarify goals, recommend a stack and timeline, then send a written proposal with assumptions, milestones, and pricing before any build begins.
Share your brief or book a discovery call. We map MVP scope, platform choice, and budget ranges, then confirm a kickoff plan with milestones.
Many use cases reach a thin vertical slice in 2–4 weeks using sample data and clear evaluation criteria before hardening for production.
Book a growth consultation. We review analytics, SERPs, and funnel leaks, then propose a 90-day plan with channel mix and expected leading indicators.
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