AI consulting that ends in working software.
Most AI consulting ends with a beautiful slide deck and zero code. We start with your business problem, scope it in a 1-week paid audit, and ship the system into production in 6 to 8 weeks.
$2K
AI Product Audit, 1 week
6-8 wk
From audit to production
Model-agnostic
OpenAI, Anthropic, Google, OSS
EU AI Act
Governance ready via Dataweavrs
Teams we've built for and alongside
What are AI consulting services?
AI consulting services help a business identify, prioritize, and implement use cases for artificial intelligence - typically large language models and machine learning. A useful engagement should deliver three things: a ranked list of high-ROI opportunities, at least one working production pilot with measured results, and a roadmap your team can execute without hiring a research org. Engagements range from a $2,000 AI Product Audit to fixed builds from $25,000 and ongoing partnerships from $8,500/month.
Audit cost
$2K fixed
Build timeline
6-8 weeks
Partner range
$8.5K-$15K/mo
Output
Working software
Big firm vs in-house vs Borah
Strategy decks vs shipped systems
The dirty secret of AI consulting: most engagements end before any code reaches production.
| Big-firm consulting | In-house POC | Borah | |
|---|---|---|---|
| Audit cost | $150K-$500K | Months of engineer time | $2,000 fixed |
| First build plan | Month 4-6 | If you survive the politics | Week 1 |
| Output | Slide deck + roadmap | POC notebook on someone's laptop | Production system + ROI numbers |
| ROI measured | By the next consulting phase | Rarely | Built into build scope |
| Senior engineers in the room | Bait-and-switch to juniors | Yours - already busy | Same team start to finish |
| Vendor lock-in | Their preferred stack | Whatever stuck | Model and stack agnostic |
| EU AI Act / governance | Separate workstream | After the fact | Default architecture |
We don't compete with EY or Deloitte on $50M digital transformations. We compete with them on the SMB and mid-market work that actually ships.
Who hires us
Three buyers we ship for
If you don't see your shape here, we'll be honest about it on the call.
Operator who senses AI is real this time
20-200 employees. You see competitors using AI. Your team has tried ChatGPT in tabs. You need a serious read on where AI moves your numbers - and a partner that can build it without hiring an ML team.
Agency white-labeling AI for clients
Marketing, ops, or vertical SaaS agency. Your clients are asking for AI. You don't want to staff up. You need a senior partner to scope, build, and ship under your brand on a predictable cost.
Tech leader with too many stalled POCs
$20M-$200M revenue. You have 4 stalled AI projects, a backlog of internal requests, and a CFO asking for evidence. You need a focused team to ship one production system that pays back, then scale from there.
Where AI moves the needle
The use cases that actually pay back
The boring wins in order of payback. We have shipped each of these in production for real clients.
RAG over your knowledge base
Deflect 30-60% of repetitive tickets, surface answers for agents in real time, and capture every gap as a content task.
Lead enrichment and CRM hygiene
Auto-enrich leads at form submission, classify intent, draft outbound copy, and keep CRM fields clean without an SDR doing data entry.
Document and email processing
Extract structured data from invoices, contracts, intake forms, and inboxes. Reduce manual processing by 70-95% with audit logs for every decision.
Content production at scale
Brief-to-draft pipelines for blogs, listings, product descriptions, internal reports. Brand-safe, evaluated against rubrics, human in the loop.
Search across messy SaaS data
Unified search across Notion, Drive, Slack, GitHub, and CRM. Answers, not just links. The end of 'who has the latest version?'
Inspection, classification, triage
Image, video, or text classification at production volumes. Routing rules that escalate when confidence drops below threshold.
Our framework
How we scope an AI engagement in 5 steps
Same framework whether the engagement is $2,000 or $250,000. The only thing that changes is how many use cases we ship.
Map operations to LLM capability
We sit with your team, walk the workflows, and tag each one against what LLMs are actually good at: extraction, classification, generation, routing, retrieval. Out: a candidate list nobody could write at a desk.
Score and rank by ROI
Each candidate gets ROI estimate, complexity score, risk surface, and time-to-value. We rank, you pick. The picks that don't survive this step never see code.
Pilot one in production
Real data, real users, real failure modes. Built with evals from day one so we can prove the system is better than the baseline - not just demo well.
Measure against baseline
Pre-defined success metrics tracked in a dashboard your team owns. Honest read on what's working, what isn't, and whether to keep going.
Roll out and harden
Production deploy, monitoring, cost controls, runbooks, on-call. The system survives a Tuesday morning, not just the demo.
Engagement formats
Pick the level of involvement
Three published prices. The audit is fixed. Builds are fixed-scope. Cancel a partnership with 30 days notice.
AI Product Audit
Find the use case that matters and leave with a build plan and a fixed quote.
- Use-case audit across operations
- Prioritized opportunity list (ROI x complexity)
- Fixed-scope build plan and quote
- Architecture and risk assessment
Flagship Build
Most pickedSenior team ships your AI product to production. Integrations, evals, governance.
- Senior AI + Laravel engineers
- Evals, monitoring, cost controls
- Integration with existing systems
- Production deployment + 30 days support
Product Partner
Borah owns the AI roadmap. New use cases shipped continuously.
- Senior embedded team
- Quarterly use-case roadmap
- On-call for production AI
- EU AI Act / SOC2-ready governance
AI you can put in front of regulators
Through our partner Dataweavrs (Belgium), we deliver EU AI Act compliance work for clients in regulated industries. Borah's founder is platform lead on WeavrCore, a governance-first AI platform.
Every system we ship has data residency, PII redaction, audit logs, evals, and cost controls baked in - not bolted on after the legal team finds a problem.
EU AI Act
Compliance delivery via Dataweavrs (Belgium)
SOC2-aware
Audit logs, access controls, data residency
Evals first
We define 'success' before we write the prompt
Cost controls
Token budgets, caching, model routing
Proof of work
AI shipped for real businesses
Recent engagements where we owned the AI use case end-to-end.
FAQ
The questions buyers actually ask
Cost, timelines, providers, governance. Honest answers.
AI consulting helps a business identify, prioritize, and implement use cases for artificial intelligence - typically large language models and machine learning. A good engagement should deliver three things: a ranked list of high-ROI opportunities, at least one working production pilot, and a roadmap for scaling that doesn't require hiring an internal AI team.
Big-firm AI consulting bills $200K+ for a strategy phase that ends in a slide deck. We bill $2,000 for a 1-week AI Product Audit that ends in a build plan and a fixed quote, then a fixed-scope build from $25,000 that ends in working software with measured ROI. We're not for $50M+ enterprise transformations - we're for SMBs and mid-market companies that want shipped AI, not a binder.
We're model-agnostic. We use OpenAI, Anthropic Claude, Google Vertex / Gemini, and open-source models (Llama, Mistral, Gemma) depending on your accuracy, latency, cost, and data-residency requirements. Most production systems we build use 2-3 models routed by task.
The boring wins, in order of payback: customer support deflection (RAG over knowledge base), sales ops (lead enrichment, CRM updates, meeting notes), document and email processing, content operations at scale, internal search across messy SaaS data, and quality inspection / categorization for ops-heavy businesses.
The 1-week audit estimates expected ROI before you commit, and the build ships in 6 to 8 weeks. Most clients see positive ROI within 90 days of going to production, because we only build use cases that pencil out at the audit stage.
AI Product Audit: $2,000 fixed. Flagship Build: from $25,000. Product Partner retainer: from $8,500/mo for ongoing AI build-out. We publish all our pricing on the /pricing page and quote everything before work begins.
We design every system with data residency, PII redaction, audit logs, and model usage policies built in. Through our partner Dataweavrs (Belgium) we deliver EU AI Act compliance work for clients in regulated industries. SOC2, HIPAA, and GDPR-aware architecture is the default, not an upgrade.
Yes. Every engagement includes documentation, runbooks, and a knowledge transfer plan. We've handed off systems to in-house teams as small as one engineer. If you don't want to maintain it, we can keep running it on retainer.
Ship your AI product to production in 6 to 8 weeks.
Fixed scope. Working software. Measured ROI. Start with a paid audit and we'll tell you whether AI moves your numbers.
No 60-day discovery. No slide deck. Just a clear plan.