AI consulting · WA, USA

AI consulting Seattle

In Seattle the bar for software is high and the patience for AI that only demos well is low. If your SaaS, eCommerce, logistics, or services operation has a real operational problem, Taycon AI builds the system that fixes it, deployed into the tools you already run and live in weeks. You are measured on what shipped, and so are we. No deck, no new headcount.

Pacific Time
Industries we serve

Built for Seattle operations

SaaS & technology

Seattle SaaS companies automate customer support triage, success operations, and CRM enrichment at scale.

eCommerce & retail

Puget Sound eCommerce operators automate demand forecasting, inventory intelligence, and customer operations.

Distribution & logistics

Seattle and Puget Sound logistics firms automate warehouse reporting, supplier performance, and operational anomaly detection.

Professional services

Seattle professional services firms automate document generation, client reporting, and billing.

Healthcare & biotech

Pacific Northwest healthcare and biotech operations automate document intake, claims, and operational reporting.

Manufacturing & aerospace

Puget Sound manufacturers automate production reporting and operational intelligence.

What it solves

The operational problems AI consulting addresses

Manual workflows consuming skilled staff time

Success teams sorting tickets, ecommerce ops rekeying order and inventory data, analysts formatting the same dashboards by hand every week.

Disconnected systems that don't share data

Your CRM, commerce platform, fulfillment, and support tools running as silos, reconciled in spreadsheets, with operational reporting rebuilt manually each cycle.

Decisions slowed by manual reporting

Leadership waiting on compiled reports while inventory, churn, and fulfillment issues surface at close instead of in real time.

Operations that can't scale without headcount

Order and ticket volume scaling faster than the team, every new channel or SKU adding manual work, growth that keeps costing another hire.

No visibility into what's working

Customer health and fulfillment performance scored after the fact, pipeline accuracy dependent on CRM hygiene, no live view of what is working.

AI investment with no clear starting point

You set a high bar for software and have no patience for AI that only demos. You need a working system, and are not sure which workflow to start with.

Where it applies

Where AI creates operational impact

How we deploy it

The Taycon AI engagement framework

Discover

We map the workflow, every manual step, system, and handoff, and pinpoint where AI creates the most measurable impact, before a line of code is written.

Architect

We design the AI models, data flows, integration points, and the human oversight model. You review and approve the architecture before we build.

Deploy

We build and integrate directly into your tools, with parallel testing against real data before go-live, so there's no disruption to live work.

Measure

We track performance against the baseline from Discovery and refine on real output and feedback until it's running at full effectiveness.

Client engagement

A recent client engagement

B2B SaaS company · 15-person support team · support triage deployment

A B2B SaaS company was handling 800+ support tickets a week, with response times slipping past SLA. A basic chatbot trialled the year before handled under 10% of tickets without escalation and was switched off. The 15-person team spent most of its time sorting and routing rather than resolving, and CSAT was sliding.

Taycon AI analyzed six months of ticket data and found 60% were routine billing, access, and onboarding queries. We deployed a triage agent inside their Zendesk that classifies each ticket by intent and urgency, pulls account data from Salesforce, drafts routine responses from the knowledge base, and routes complex issues with full context.

The team got its time back for the tickets that actually need a person, and routine queries stopped clogging the queue.

The payoff

The operational payoff

FAQ

AI consulting in Seattle, common questions

Do you work with Seattle clients in person?

We work on Pacific Time, your business hours with no lag. Vancouver to Seattle is a short flight or 2.5-hour drive, so in-person kickoff is straightforward.

How long does an AI deployment take?

An AI opportunity assessment runs 1 to 2 weeks. A pilot deployment of one workflow in production runs 4 to 8 weeks. A full multi-phase program runs 3 to 6 months. We scope every engagement before committing to a timeline.

What industries do you focus on in Seattle?

Strongest fit with Puget Sound SaaS, eCommerce, distribution and logistics, and professional services operations.

How much does AI consulting in Seattle cost?

Engagements scope to the work and its complexity. A free intro call will point you to the right starting point for your situation, with no obligation.

Can you integrate with our existing CRM, ERP, and helpdesk?

Yes. Every engagement is designed around your existing stack. We integrate with the CRM, ERP, and helpdesk you already run rather than asking you to replace them.

Other locations

AI consulting across North America

Find where AI pays off in Seattle

A 20-minute call to see how we can help and find the right starting point. No deck, no obligation.

Book a free intro call